Job Description
We are a research-driven biopharmaceutical company. Our mission is built on the simple premise that if we “follow the science” and that great medicines can make a significant impact to our world. And we believe that a research-driven enterprise dedicated to world-class science can succeed by inventing medicine and vaccine innovations that make a difference for patients across the globe.
We are currently looking for a Team of Clinical Data Managers (CDMs) to be based in our new office in Zürich. (full-time, indefinite).
Under the direction of the applicable management, the Clinical Data Manager is responsible for executing end to end data management activities pertaining to clinical trials, including but not limited to; data management tool and system development, validation and maintenance, data collection, data integrity review and reconciliation, query management, medical coding, and database lock preparation, in compliance with our company Standard Operating Procedures (SOPs) and ICH-GCP guidelines.
THE PRIMARY ACTIVITIES INCLUDE BUT ARE NOT LIMITED TO:
Receives the study related paper documents (i.e. patient diary, adjudication, etc.) from sites or other functional areas, registers them into a work management tool and transfers to data enterer for processing
Performs Sponsor Data Entry as applicable per data management plans following entry guidelines
Participates in the development and change request implementation of data management tools and systems for the clinical trial data management activities under the direction of the SCDM/LCDM
Runs data integrity check reports in accordance with data review plans and relevant SOPs.
Raises questions to investigational site staff and internal and external vendors, reviews responses and corresponding data corrections to confirm identified issue resolution
Responsible for the execution of user acceptance testing of data management tools under the guidance of the SCDM/LCDM
Escalates overdue items, including but not limited to outstanding questions and missing visits
Assists the Senior/Lead CDM with data management activities to resolve all identified data issues prior to study database lock
Complete trial level archiving activities under the direction of the SCDM/LCDM including, but not limited to, filing of essential documentation
Maintains compliance with standard key performance indicators according to process expectations at the protocol level
Monitors data quality and cycle-time performance measures to maintain compliance, performs root cause analysis and implements action plans as needed
Proactively communicates with Senior/Lead CDM to share project status, risk assessment and outstanding item resolution status
QUALIFICATIONS:
B.A. or B.S. degree completed or currently enrolled, preferably in Medicine, Pharmacy, Nursing, Biological Sciences, or health care related discipline
Self-motivated, excellent in work planning and time management
Fluency in English (oral and written)
Good sense and awareness of regulations and policies
Able to work under pressure and in a changing environment with flexibility
Good communication skills with the ability to communicate with both the technical and business areas
Our Clinical and Pharmacovigilance teams manage studies to provide the safety and efficacy data required for regulatory approval of potential new drugs, vaccines and new indications for existing products. We ensure we conduct high quality clinical trials by integrating state-of-the-art technology and applying rigorous scientific and ethical standards.
THE COMPANY…
Our company has had a presence in Switzerland since 1963. With a regional office and manufacturing/packaging facility, Lucerne is considered the center of operations. Approximately 1,000 people work collaboratively at the four Lucerne locations (Weystrasse, Citybay, Schachen and Kriens). A fifth location has been recently established in Zurich, aimed at accelerating the development and commercialization of many of our company’s medicines and vaccines, which supports our mission to save and improve lives around the world. The new location has a target date of 2021 for operational readiness.
We are proud to be certified as a “Top Employer Switzerland” and “Top Employer Europe” showing the company’s commitment to our employees and the community around us.
The recently opened new location in Zurich focuses on accelerating research, data and commercialization of our medicines and vaccines. The new office will be staffed by teams working in strategic and operational roles in medical affairs, clinical development, access and marketing operations functions. The new location has a target date of 2021 for operational readiness.
WHO WE ARE …
Merck & Co., Inc., Kenilworth, New Jersey, USA is known as “Merck” in the United States, Canada & Puerto Rico. We are known as “MSD” in Europe, Middle East, Africa, Latin America & Asia Pacific. We are a global biopharmaceutical leader with a diverse portfolio of prescription medicines, oncology, vaccines and animal health products.We are driven by our purpose to develop and deliver innovative products that save and improve lives. With 69,000 employees operating in more than 140 countries, we offer state of the art laboratories, plants and offices that are designed to Inspire our employees as we learn, develop and grow in our careers. We are proud of our 125 years of service to humanity and continue to be one of the world’s biggest investors in Research & Development.
WHAT WE LOOK FOR …
In a world of rapid innovation, we seek brave Inventors who want to make an Impact in all aspects of our business, enabling breakthroughs that will affect generations to come. We encourage you to bring your disruptive thinking, collaborative spirit and diverse perspective to our organization. Together we will continue Inventing For Life, Impacting Lives while Inspiring Your Career Growth.
INVENT. IMPACT. INSPIRE.
We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively for the common good. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.
Search Firm Representatives Please Read Carefully Merck & Co., Inc., Kenilworth, NJ, USA, also known as Merck Sharp & Dohme Corp., Kenilworth, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Yes
Travel Requirements:
No Travel Required
Flexible Work Arrangements:
Shift:
Valid Driving License:
No
Hazardous Material(s):
Requisition ID: R43143
07/03/2020
Full time
Job Description
We are a research-driven biopharmaceutical company. Our mission is built on the simple premise that if we “follow the science” and that great medicines can make a significant impact to our world. And we believe that a research-driven enterprise dedicated to world-class science can succeed by inventing medicine and vaccine innovations that make a difference for patients across the globe.
We are currently looking for a Team of Clinical Data Managers (CDMs) to be based in our new office in Zürich. (full-time, indefinite).
Under the direction of the applicable management, the Clinical Data Manager is responsible for executing end to end data management activities pertaining to clinical trials, including but not limited to; data management tool and system development, validation and maintenance, data collection, data integrity review and reconciliation, query management, medical coding, and database lock preparation, in compliance with our company Standard Operating Procedures (SOPs) and ICH-GCP guidelines.
THE PRIMARY ACTIVITIES INCLUDE BUT ARE NOT LIMITED TO:
Receives the study related paper documents (i.e. patient diary, adjudication, etc.) from sites or other functional areas, registers them into a work management tool and transfers to data enterer for processing
Performs Sponsor Data Entry as applicable per data management plans following entry guidelines
Participates in the development and change request implementation of data management tools and systems for the clinical trial data management activities under the direction of the SCDM/LCDM
Runs data integrity check reports in accordance with data review plans and relevant SOPs.
Raises questions to investigational site staff and internal and external vendors, reviews responses and corresponding data corrections to confirm identified issue resolution
Responsible for the execution of user acceptance testing of data management tools under the guidance of the SCDM/LCDM
Escalates overdue items, including but not limited to outstanding questions and missing visits
Assists the Senior/Lead CDM with data management activities to resolve all identified data issues prior to study database lock
Complete trial level archiving activities under the direction of the SCDM/LCDM including, but not limited to, filing of essential documentation
Maintains compliance with standard key performance indicators according to process expectations at the protocol level
Monitors data quality and cycle-time performance measures to maintain compliance, performs root cause analysis and implements action plans as needed
Proactively communicates with Senior/Lead CDM to share project status, risk assessment and outstanding item resolution status
QUALIFICATIONS:
B.A. or B.S. degree completed or currently enrolled, preferably in Medicine, Pharmacy, Nursing, Biological Sciences, or health care related discipline
Self-motivated, excellent in work planning and time management
Fluency in English (oral and written)
Good sense and awareness of regulations and policies
Able to work under pressure and in a changing environment with flexibility
Good communication skills with the ability to communicate with both the technical and business areas
Our Clinical and Pharmacovigilance teams manage studies to provide the safety and efficacy data required for regulatory approval of potential new drugs, vaccines and new indications for existing products. We ensure we conduct high quality clinical trials by integrating state-of-the-art technology and applying rigorous scientific and ethical standards.
THE COMPANY…
Our company has had a presence in Switzerland since 1963. With a regional office and manufacturing/packaging facility, Lucerne is considered the center of operations. Approximately 1,000 people work collaboratively at the four Lucerne locations (Weystrasse, Citybay, Schachen and Kriens). A fifth location has been recently established in Zurich, aimed at accelerating the development and commercialization of many of our company’s medicines and vaccines, which supports our mission to save and improve lives around the world. The new location has a target date of 2021 for operational readiness.
We are proud to be certified as a “Top Employer Switzerland” and “Top Employer Europe” showing the company’s commitment to our employees and the community around us.
The recently opened new location in Zurich focuses on accelerating research, data and commercialization of our medicines and vaccines. The new office will be staffed by teams working in strategic and operational roles in medical affairs, clinical development, access and marketing operations functions. The new location has a target date of 2021 for operational readiness.
WHO WE ARE …
Merck & Co., Inc., Kenilworth, New Jersey, USA is known as “Merck” in the United States, Canada & Puerto Rico. We are known as “MSD” in Europe, Middle East, Africa, Latin America & Asia Pacific. We are a global biopharmaceutical leader with a diverse portfolio of prescription medicines, oncology, vaccines and animal health products.We are driven by our purpose to develop and deliver innovative products that save and improve lives. With 69,000 employees operating in more than 140 countries, we offer state of the art laboratories, plants and offices that are designed to Inspire our employees as we learn, develop and grow in our careers. We are proud of our 125 years of service to humanity and continue to be one of the world’s biggest investors in Research & Development.
WHAT WE LOOK FOR …
In a world of rapid innovation, we seek brave Inventors who want to make an Impact in all aspects of our business, enabling breakthroughs that will affect generations to come. We encourage you to bring your disruptive thinking, collaborative spirit and diverse perspective to our organization. Together we will continue Inventing For Life, Impacting Lives while Inspiring Your Career Growth.
INVENT. IMPACT. INSPIRE.
We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively for the common good. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.
Search Firm Representatives Please Read Carefully Merck & Co., Inc., Kenilworth, NJ, USA, also known as Merck Sharp & Dohme Corp., Kenilworth, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Yes
Travel Requirements:
No Travel Required
Flexible Work Arrangements:
Shift:
Valid Driving License:
No
Hazardous Material(s):
Requisition ID: R43143
AI Use Case Manager – Model Methodology
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204258BR
City: Zürich
Job Type : Full Time
Your role:
Do you have the know-how to apply business analysis techniques to deliver innovative solutions? Are you able to challenge the status quo? Are you able to understand business drivers and developments, and explain in a succinct and understandable manner? We're looking for a Use Case Manager who will: • interact and closely engage with all relevant stakeholders to establish risk identification, control and supervision to support AI and machine learning solutions • define requirements and functional specifications for the model developers • manage the development process through production and solution transfer to the stakeholders
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• master's degree in Business Administration, Economics / Finance • 2+ years of experience in risk & compliance in the financial services industry, in change-the-bank and run-the-bank role • very good knowledge in functional requirements analysis and specification and used to closely collaborate with highly technical staff • expertise in global regulatory context and sound understanding of its impacts on model methodology and IT • sound understanding of banking, compliance and operational risk taxonomies, processes and controls • excellent project management skills, covering the initial analysis & requirements specification process through to production deployment and solution transfer to the business users • strong interpersonal, stakeholder management and communication skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
AI Use Case Manager – Model Methodology
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204258BR
City: Zürich
Job Type : Full Time
Your role:
Do you have the know-how to apply business analysis techniques to deliver innovative solutions? Are you able to challenge the status quo? Are you able to understand business drivers and developments, and explain in a succinct and understandable manner? We're looking for a Use Case Manager who will: • interact and closely engage with all relevant stakeholders to establish risk identification, control and supervision to support AI and machine learning solutions • define requirements and functional specifications for the model developers • manage the development process through production and solution transfer to the stakeholders
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• master's degree in Business Administration, Economics / Finance • 2+ years of experience in risk & compliance in the financial services industry, in change-the-bank and run-the-bank role • very good knowledge in functional requirements analysis and specification and used to closely collaborate with highly technical staff • expertise in global regulatory context and sound understanding of its impacts on model methodology and IT • sound understanding of banking, compliance and operational risk taxonomies, processes and controls • excellent project management skills, covering the initial analysis & requirements specification process through to production deployment and solution transfer to the business users • strong interpersonal, stakeholder management and communication skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
AI Model Developer
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204257BR
City: Zürich
Job Type : Full Time
Your role:
Does quantitative modeling excite you? Are you an innovative thinker and interested in risk topics? Do you enjoy understanding algorithms and their background? We're looking for a model developer who will: • design, build and test AI models and solutions for business stakeholders and users primarily relying on Python based libraries and frameworks • ensure adherence to standards related to our AI development pipeline, model validation, front / back-end interfaces and workflow procedures • design and implement reusable Python assets, code templates and ongoing AI development framework enhancements. • stakeholder management across various levels within the business unit and interact with all relevant GCRG stakeholders. • collaborate with data architects and IT specialists to support as well the development of a data strategy and bespoke technical infrastructure
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• university degree (Master's or Ph.D.) in Computer Science, Physics, Statistics or Mathematics • up to 5 years of analytics / statistical model development experience, using advanced quantitative & machine learning methods, applied preferably in financial services, risk & compliance domain • fluent in Python or R • strong expertise in Scikit, Pandas, Numpy, Tensorflow, Keras, Spacy, model transparency and interpretability techniques • front-end prototyping experience in R Shiny or JS React advantageous • understanding of model risk management processes • basic understanding of IT and software engineering principles • good communication, writing & presentation skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
AI Model Developer
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204257BR
City: Zürich
Job Type : Full Time
Your role:
Does quantitative modeling excite you? Are you an innovative thinker and interested in risk topics? Do you enjoy understanding algorithms and their background? We're looking for a model developer who will: • design, build and test AI models and solutions for business stakeholders and users primarily relying on Python based libraries and frameworks • ensure adherence to standards related to our AI development pipeline, model validation, front / back-end interfaces and workflow procedures • design and implement reusable Python assets, code templates and ongoing AI development framework enhancements. • stakeholder management across various levels within the business unit and interact with all relevant GCRG stakeholders. • collaborate with data architects and IT specialists to support as well the development of a data strategy and bespoke technical infrastructure
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• university degree (Master's or Ph.D.) in Computer Science, Physics, Statistics or Mathematics • up to 5 years of analytics / statistical model development experience, using advanced quantitative & machine learning methods, applied preferably in financial services, risk & compliance domain • fluent in Python or R • strong expertise in Scikit, Pandas, Numpy, Tensorflow, Keras, Spacy, model transparency and interpretability techniques • front-end prototyping experience in R Shiny or JS React advantageous • understanding of model risk management processes • basic understanding of IT and software engineering principles • good communication, writing & presentation skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
AI Model & Methodology Maintenance and Business Enabler
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204256BR
City: Zürich
Job Type : Full Time
Your role:
Are you an expert in in the use of machine learning for decision making? Do you enjoy understanding algorithms and their background? Are you organized with an eye for detail? We're looking for someone like that to: • maintain our newly built AI and machine learning solutions on our proprietary platform • calibrate, verify and manage model governance and the model governance process • act as the main point of contact for ensure stakeholders and model users, ensuring they know how to use and have reliable access to our solutions, including providing topical training and second level support
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• ideally a Master's in Mathematics, Natural Sciences, Engineering, Economics or Quantitative Finance • minimum 2+ years' experience in model risk management and model governance processes within the financial services industry • experience in model development or validation, using R, Python, Java, C++ • strong understanding of international regulatory, risk & compliance business context • model maintenance experience across a diverse set of non-financial risk taxonomies (e.g. Conduct, Legal, Cyber etc.) • solid experience in modern banking IT environments & good understanding of their specific requirements (e.g. data management, security etc.) • good communication, writing and presentation skills, teaching or 2. Level business support experience a strong plus • fluency in English required, other languages (e.g. German) advantageous us
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
AI Model & Methodology Maintenance and Business Enabler
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204256BR
City: Zürich
Job Type : Full Time
Your role:
Are you an expert in in the use of machine learning for decision making? Do you enjoy understanding algorithms and their background? Are you organized with an eye for detail? We're looking for someone like that to: • maintain our newly built AI and machine learning solutions on our proprietary platform • calibrate, verify and manage model governance and the model governance process • act as the main point of contact for ensure stakeholders and model users, ensuring they know how to use and have reliable access to our solutions, including providing topical training and second level support
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• ideally a Master's in Mathematics, Natural Sciences, Engineering, Economics or Quantitative Finance • minimum 2+ years' experience in model risk management and model governance processes within the financial services industry • experience in model development or validation, using R, Python, Java, C++ • strong understanding of international regulatory, risk & compliance business context • model maintenance experience across a diverse set of non-financial risk taxonomies (e.g. Conduct, Legal, Cyber etc.) • solid experience in modern banking IT environments & good understanding of their specific requirements (e.g. data management, security etc.) • good communication, writing and presentation skills, teaching or 2. Level business support experience a strong plus • fluency in English required, other languages (e.g. German) advantageous us
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
AI Software Engineer – Model Methodology
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204255BR
City: Zürich
Job Type : Full Time
Your role:
Are you passionate about bringing systems to life? Do you have a curious nature, always interested in how to innovate? Are you an innovative thinker and interested in risk topics? We're looking for a software developer who will: • create AI development guidelines, design and build GUI templates • implement a comprehensive testing, delivery and deployment framework • ensure resilient interfaces to production environments, front / back-end components complying with existing validation and Group IT standards contributing to the creation of a data strategy • build an IT infrastructure coordinating technical activities towards the validation of model • closely interact with all relevant business unit stakeholders to architect and deliver robust, scalable and sustainable AI solutions.
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• university degree (Master's or Ph.D.) in Computer Science • 2+ years of software development experience under Windows / Unix / Linux / MVS, applied preferably in financial services, risk & compliance domain • fluent in Python / R / C++ / Java • solid experience in front-end development technologies like JS React or Angular • strong expertise in relational DBMS (DB2, MySQL, SQL Server, Oracle) and Data Lakes (Microsoft, Oracle, TeraData) • sound knowledge of BigData and deployment environments & processes (Cloud computing, Azure, Hadoop) • working knowledge of Machine Learning frameworks • basic understanding of model validation process • excellent communication, writing & presentation skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
AI Software Engineer – Model Methodology
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204255BR
City: Zürich
Job Type : Full Time
Your role:
Are you passionate about bringing systems to life? Do you have a curious nature, always interested in how to innovate? Are you an innovative thinker and interested in risk topics? We're looking for a software developer who will: • create AI development guidelines, design and build GUI templates • implement a comprehensive testing, delivery and deployment framework • ensure resilient interfaces to production environments, front / back-end components complying with existing validation and Group IT standards contributing to the creation of a data strategy • build an IT infrastructure coordinating technical activities towards the validation of model • closely interact with all relevant business unit stakeholders to architect and deliver robust, scalable and sustainable AI solutions.
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• university degree (Master's or Ph.D.) in Computer Science • 2+ years of software development experience under Windows / Unix / Linux / MVS, applied preferably in financial services, risk & compliance domain • fluent in Python / R / C++ / Java • solid experience in front-end development technologies like JS React or Angular • strong expertise in relational DBMS (DB2, MySQL, SQL Server, Oracle) and Data Lakes (Microsoft, Oracle, TeraData) • sound knowledge of BigData and deployment environments & processes (Cloud computing, Azure, Hadoop) • working knowledge of Machine Learning frameworks • basic understanding of model validation process • excellent communication, writing & presentation skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Quantitative Risk Specialist (Financial Crime)
Compliance, Quantitative Analysis, Risk
Corporate Center
Job Reference # 205124BR
City: Zürich
Job Type : Full Time
Your role:
D o you want to want to contribute to project of firm-wide significance? We're looking for someone who is ready to support the bank-wide UBS AML data analytics program with particular focus on the following tasks: • Act as a Subject-Matter Expert for the bank-wide AML Client Risk Rating Model within the central Financial Crime Prevention unit • Support managing instances of the global AML Client Risk Rating (CRR) model • Analyse Model Performance and develop Challenger Models • Review model parameters and thresholds on a regular basis for appropriateness • Support internal model validation assessments • Participate in global Steering Committee which supervises CRR • Own Product Risk assessment process and methodology • Run a change management process / change board that ensures transparency on and appropriate prioritization of change requests • Engage with a global community of stakeholders in Financial Crime and Business units
Your team :
You will be working in the Risk Assessments and Analytics team within global Financial Crime function. We work as a gatekeeper in preventing money laundering, terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, evaluate money laundering risks linked to countries, and carry out systematic data analytics exercises on a client level.
Your expertise :
• a Master degree (MS or MA) in mathematics, statistics, physics, engineering or statistics • at least 5years experience in a quantitative data driven role • Fluent in R, Python, SQL other programming languages an advantage • experience in Financial Crime risk management, audit or compliance • a sound understanding of Due Diligence processes, risk factors, and relevant regulatory requirements • knowledge of model risk and model validation • good record keeping and report drafting skills • ability to lead people/projects or initiatives
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
Quantitative Risk Specialist (Financial Crime)
Compliance, Quantitative Analysis, Risk
Corporate Center
Job Reference # 205124BR
City: Zürich
Job Type : Full Time
Your role:
D o you want to want to contribute to project of firm-wide significance? We're looking for someone who is ready to support the bank-wide UBS AML data analytics program with particular focus on the following tasks: • Act as a Subject-Matter Expert for the bank-wide AML Client Risk Rating Model within the central Financial Crime Prevention unit • Support managing instances of the global AML Client Risk Rating (CRR) model • Analyse Model Performance and develop Challenger Models • Review model parameters and thresholds on a regular basis for appropriateness • Support internal model validation assessments • Participate in global Steering Committee which supervises CRR • Own Product Risk assessment process and methodology • Run a change management process / change board that ensures transparency on and appropriate prioritization of change requests • Engage with a global community of stakeholders in Financial Crime and Business units
Your team :
You will be working in the Risk Assessments and Analytics team within global Financial Crime function. We work as a gatekeeper in preventing money laundering, terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, evaluate money laundering risks linked to countries, and carry out systematic data analytics exercises on a client level.
Your expertise :
• a Master degree (MS or MA) in mathematics, statistics, physics, engineering or statistics • at least 5years experience in a quantitative data driven role • Fluent in R, Python, SQL other programming languages an advantage • experience in Financial Crime risk management, audit or compliance • a sound understanding of Due Diligence processes, risk factors, and relevant regulatory requirements • knowledge of model risk and model validation • good record keeping and report drafting skills • ability to lead people/projects or initiatives
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that I agree with Takeda’s Privacy Notice, Privacy Policy and Terms of Use.
Job Description
Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Global Data Science Lead Plasma in our Office in Zurich, Switzerland.
Here, you will be a vital contributor to our inspiring, bold mission.
As our Global Data Science Lead for the GMS Plasma Operational Units (OPU), your typical day will include:
Drive design, execution and implementation of the overall GMS Data Science strategy for the GMS Plasma OPU
Develop and own detailed GMS Plasma OPU scale-up and delivery execution road-map for data science and manages respective functional and cross-functional interdependencies
Manage, gather and execute GMS Plasma OPU data science needs and execution of initiatives in collaboration with respective stakeholders and advises on the respective short and medium focus
Ensure and establish Data Science capabilities GMS Plasma OPU by establishing expert Data Science capability on all levels of data analytics
Provide the Data Science link across local, functional and global GMS OPU Data Science, IT, Engineering and GMS Plasma OPU.
ACCOUNTABILITY:
GMS Plasma OPU Data Science strategy implementation
GMS Plasma OPU detailed scale-up and delivery execution road-map for data science: Reviews data science possibilities/initiatives/requests in collaboration with IT and GMSGQ business stakeholders. Advises on the respective prioritisation for short and medium focus.
GMS Plasma OPU data science capabilities: Review and establishes internal and external data science capabilities within GMS Plasma OPU. Ensures GMS Plasma OPU data science capabilities are enough to defined data scientist profile. Conducts and participates in technical interviews for data science capabilities. Executes and drives the data science training for GMS Plasma OPU in collaboration with GMSCI Data Science Training excellence.
GMS Plasma OPU data science initiatives portfolio
GMS Plasma OPU functional and cross-functional interdependencies for data science
Ensures GMS Plasma OPU representation in GMSGQ data science community.
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
University degree of science/business: Advanced degree is required (Master/MBA and/or PhD), e.g. in Engineering, Mathematics, IT or Physics with focus on either Control Theory/Statistics/Mechatronics, Information/Operation, Management/Strategy, Technology and Innovation Management
Experience in applying and executing Digital/Big Data Analytics/ Artificial Intelligence/Machine Learning, Machine Learning algorithms, Respective programming knowledge
Fluent in English
Digital & Data Science Skills:
Strong expertise and experience in Digital/Big Data Analytics/ Artificial Intelligence/Machine Learning
Experience in Machine Learning algorithms (CNN, SVM, LSTM, etc.).
Respective programming knowledge of either MATLAB/Python/R required, further skills such as C++, SQL etc. are advantageous
Prior experience of Biostatistics, stochastic modelling and decision trees is a strong asset
Strong knowledge of Statistical Process Control Expertise in Bayesian statistics:
Experience in Density estimation
Solid knowledge in Bayesian Hypothesis Testing,
Solid knowledge in ANOVA and forecasting techniques (ARIMA, RMA, NARX)
Expertise in Signal Processing, Control Systems, Mechatronics
A firm grasp of industry, scientific and digital, artificial intelligence, machine learning and data science trends and market conditions, to develop solutions enhance compliance and quality of life for patients
Role requires partnership interface with GMS Plasma OPU providing the Data Science link towards IT, Engineering and GMS Plasma OPU.
Provide patient-centred best in class GMS Data science for the GMS Plasma OPU, establishes data science talent and elevate organisational performance
Strong expertise and experience in Digital/Big Data Analytics/ Artificial Intelligence/Machine Learning algorithms, respective programming knowledge
Capabilities to translate business needs into data analytics concepts and the other way
Hands-on, able to implement and execute data science initiatives, analysis, machine learning
High level project management skills
WHAT TAKEDA CAN OFFER YOU
At Takeda, we are transforming the pharmaceutical industry through our R&D driven market leadership and being a values-led company. To do this, we empower our people to realise their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
Empowering Our People to Shine
Discover more at takedajobs.com
Locations
Zurich, Switzerland
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time Job ID R0017409
25/03/2020
Full time
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that I agree with Takeda’s Privacy Notice, Privacy Policy and Terms of Use.
Job Description
Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Global Data Science Lead Plasma in our Office in Zurich, Switzerland.
Here, you will be a vital contributor to our inspiring, bold mission.
As our Global Data Science Lead for the GMS Plasma Operational Units (OPU), your typical day will include:
Drive design, execution and implementation of the overall GMS Data Science strategy for the GMS Plasma OPU
Develop and own detailed GMS Plasma OPU scale-up and delivery execution road-map for data science and manages respective functional and cross-functional interdependencies
Manage, gather and execute GMS Plasma OPU data science needs and execution of initiatives in collaboration with respective stakeholders and advises on the respective short and medium focus
Ensure and establish Data Science capabilities GMS Plasma OPU by establishing expert Data Science capability on all levels of data analytics
Provide the Data Science link across local, functional and global GMS OPU Data Science, IT, Engineering and GMS Plasma OPU.
ACCOUNTABILITY:
GMS Plasma OPU Data Science strategy implementation
GMS Plasma OPU detailed scale-up and delivery execution road-map for data science: Reviews data science possibilities/initiatives/requests in collaboration with IT and GMSGQ business stakeholders. Advises on the respective prioritisation for short and medium focus.
GMS Plasma OPU data science capabilities: Review and establishes internal and external data science capabilities within GMS Plasma OPU. Ensures GMS Plasma OPU data science capabilities are enough to defined data scientist profile. Conducts and participates in technical interviews for data science capabilities. Executes and drives the data science training for GMS Plasma OPU in collaboration with GMSCI Data Science Training excellence.
GMS Plasma OPU data science initiatives portfolio
GMS Plasma OPU functional and cross-functional interdependencies for data science
Ensures GMS Plasma OPU representation in GMSGQ data science community.
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
University degree of science/business: Advanced degree is required (Master/MBA and/or PhD), e.g. in Engineering, Mathematics, IT or Physics with focus on either Control Theory/Statistics/Mechatronics, Information/Operation, Management/Strategy, Technology and Innovation Management
Experience in applying and executing Digital/Big Data Analytics/ Artificial Intelligence/Machine Learning, Machine Learning algorithms, Respective programming knowledge
Fluent in English
Digital & Data Science Skills:
Strong expertise and experience in Digital/Big Data Analytics/ Artificial Intelligence/Machine Learning
Experience in Machine Learning algorithms (CNN, SVM, LSTM, etc.).
Respective programming knowledge of either MATLAB/Python/R required, further skills such as C++, SQL etc. are advantageous
Prior experience of Biostatistics, stochastic modelling and decision trees is a strong asset
Strong knowledge of Statistical Process Control Expertise in Bayesian statistics:
Experience in Density estimation
Solid knowledge in Bayesian Hypothesis Testing,
Solid knowledge in ANOVA and forecasting techniques (ARIMA, RMA, NARX)
Expertise in Signal Processing, Control Systems, Mechatronics
A firm grasp of industry, scientific and digital, artificial intelligence, machine learning and data science trends and market conditions, to develop solutions enhance compliance and quality of life for patients
Role requires partnership interface with GMS Plasma OPU providing the Data Science link towards IT, Engineering and GMS Plasma OPU.
Provide patient-centred best in class GMS Data science for the GMS Plasma OPU, establishes data science talent and elevate organisational performance
Strong expertise and experience in Digital/Big Data Analytics/ Artificial Intelligence/Machine Learning algorithms, respective programming knowledge
Capabilities to translate business needs into data analytics concepts and the other way
Hands-on, able to implement and execute data science initiatives, analysis, machine learning
High level project management skills
WHAT TAKEDA CAN OFFER YOU
At Takeda, we are transforming the pharmaceutical industry through our R&D driven market leadership and being a values-led company. To do this, we empower our people to realise their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
Empowering Our People to Shine
Discover more at takedajobs.com
Locations
Zurich, Switzerland
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time Job ID R0017409
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that I agree with Takeda’s Privacy Notice, Privacy Policy and Terms of Use.
Job Description
Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Global Data Science Lead in our Office in Zurich, Switzerland.
Here, you will be a vital contributor to our inspiring, bold mission.
As our Global Data Science Lead, you will be working in the GMS Emerging Market region. Your typical day will include:
Driving design, execution and implementation of the overall GMS Data Science strategy for the GMS Emerging Market
Develop and own detailed GMS Emerging Market scale-up and delivery execution road-map for data science and manages respective functional and cross-functional interdependencies.
Review data science possibilities/initiatives/requests in collaboration with IT and GMSGQ business stakeholders.
Manage, gather and execute GMS Emerging Market data science needs and execution of initiatives in collaboration with respective stakeholders and advise on the respective short and medium focus
Review and establishes internal and external data science capabilities within GMS Emerging Market
Provide the Data Science link across local, functional and global GMS Data Science, IT, Engineering and GMS Emerging Market.
Execute and drive the data science training for GMS Emerging Market in collaboration with GMSCI Data Science Training excellence.
Ensure GMS Emerging Market representation in GMSGQ data science community.
A firm grasp of industry, scientific and digital, artificial intelligence, machine learning and data science trends and market conditions, to develop solutions enhance compliance and quality of life for patients
Provide patient-centred best in class GMS Data science for the GMS Emerging Market, establishes data science talent and elevate organisational performance
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
University degree of science/business: Advanced degree is required (Master/MBA and/or PhD), e.g. in Engineering, Mathematics, IT or Physics with focus on either Control Theory/Statistics/Mechatronics,Information/Operation, Management/Strategy, Technology and Innovation Management.
Experience in applying and executing Digital/Big Data Analytics/ Artificial Intelligence/Machine Learning, Machine Learning algorithms, Respective programming knowledge
Fluent in English
Digital & Data Science Skills:
Experience in Machine Learning algorithms (CNN, SVM, LSTM, etc.),
Respective programming knowledge of either MATLAB/Python/R required, further skills such as C++, SQL etc. are advantageous
Prior experience of Biostatistics, stochastic modelling and decision trees is a strong asset
Strong knowledge of Statistical Process Control Expertise in Bayesian statistics:
Experience in Density estimation
Solid knowledge in Bayesian Hypothesis Testing. Knowledge in ANOVA and forecasting techniques (ARIMA, RMA, NARX)
Expertise in Signal Processing, Control Systems, Mechatronics
Learning algorithms, respective programming knowledge
Capabilities to translate business needs into data analytics concepts and the other way
Hands-on, able to implement and execute data science initiatives, analysis, machine learning
High level project management skills
WHAT TAKEDA CAN OFFER YOU
At Takeda, we are transforming the pharmaceutical industry through our R&D driven market leadership and being a values-led company. To do this, we empower our people to realise their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
Empowering Our People to Shine
Discover more at takedajobs.com
Locations
Zurich, Switzerland
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time Job ID R0017265
25/03/2020
Full time
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that I agree with Takeda’s Privacy Notice, Privacy Policy and Terms of Use.
Job Description
Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Global Data Science Lead in our Office in Zurich, Switzerland.
Here, you will be a vital contributor to our inspiring, bold mission.
As our Global Data Science Lead, you will be working in the GMS Emerging Market region. Your typical day will include:
Driving design, execution and implementation of the overall GMS Data Science strategy for the GMS Emerging Market
Develop and own detailed GMS Emerging Market scale-up and delivery execution road-map for data science and manages respective functional and cross-functional interdependencies.
Review data science possibilities/initiatives/requests in collaboration with IT and GMSGQ business stakeholders.
Manage, gather and execute GMS Emerging Market data science needs and execution of initiatives in collaboration with respective stakeholders and advise on the respective short and medium focus
Review and establishes internal and external data science capabilities within GMS Emerging Market
Provide the Data Science link across local, functional and global GMS Data Science, IT, Engineering and GMS Emerging Market.
Execute and drive the data science training for GMS Emerging Market in collaboration with GMSCI Data Science Training excellence.
Ensure GMS Emerging Market representation in GMSGQ data science community.
A firm grasp of industry, scientific and digital, artificial intelligence, machine learning and data science trends and market conditions, to develop solutions enhance compliance and quality of life for patients
Provide patient-centred best in class GMS Data science for the GMS Emerging Market, establishes data science talent and elevate organisational performance
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
University degree of science/business: Advanced degree is required (Master/MBA and/or PhD), e.g. in Engineering, Mathematics, IT or Physics with focus on either Control Theory/Statistics/Mechatronics,Information/Operation, Management/Strategy, Technology and Innovation Management.
Experience in applying and executing Digital/Big Data Analytics/ Artificial Intelligence/Machine Learning, Machine Learning algorithms, Respective programming knowledge
Fluent in English
Digital & Data Science Skills:
Experience in Machine Learning algorithms (CNN, SVM, LSTM, etc.),
Respective programming knowledge of either MATLAB/Python/R required, further skills such as C++, SQL etc. are advantageous
Prior experience of Biostatistics, stochastic modelling and decision trees is a strong asset
Strong knowledge of Statistical Process Control Expertise in Bayesian statistics:
Experience in Density estimation
Solid knowledge in Bayesian Hypothesis Testing. Knowledge in ANOVA and forecasting techniques (ARIMA, RMA, NARX)
Expertise in Signal Processing, Control Systems, Mechatronics
Learning algorithms, respective programming knowledge
Capabilities to translate business needs into data analytics concepts and the other way
Hands-on, able to implement and execute data science initiatives, analysis, machine learning
High level project management skills
WHAT TAKEDA CAN OFFER YOU
At Takeda, we are transforming the pharmaceutical industry through our R&D driven market leadership and being a values-led company. To do this, we empower our people to realise their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
Empowering Our People to Shine
Discover more at takedajobs.com
Locations
Zurich, Switzerland
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time Job ID R0017265
Swisscontact is the business-oriented independent foundation for international development cooperation. Representedin 36 countries with over 1100 employees, it has been promoting economic, social and environmental developmentsince 1959.To support the finance department at Head Office, operating in an international environment with decentralizedstructures, we are looking for a:Project Data Analyst / Controller (80-100%)Start of employment:Immediately or by agreementType of Contract:PermanentLocation:ZurichTasks
Analyse project reporting requirements of our key project donors and consult our project managers andacquisitions / accounting teams on project budgeting standards, budget structuring“good practice”as well as onthe effective use of available and to-be-developed internal monitoring tools, templates and processes
Develop, test and roll out new tools and processes to efficiently administer project budgets in our ERP system(Abacus)
Create, improve and share various financial reports to support timely, efficient and compliant project accountingin our ERP system (by means of leveraging your understanding of ERP architecture design, data extraction andtransformation as well as data modelling techniques)
Support and co-operate with the controlling and business intelligence department as well as with our externalERP developers to digitize key finance processes and donor reporting in line with the needs of our donors,management and staff
Support the sustainable development / improvement of our ERP system (Abacus and Abaproject)
Support in compiling data for the preparation of the annual financial statements.Requirements
University degree or commercial apprenticeship (KV) with relevant further education and expertise in businessinformatics, data warehousing/modelling, controlling, finance, accounting or mathematics
At least 3 years of professional experience in data analysis or controlling
Strong analytical and conceptual skills and an ability to quickly understand complex business processes as well asfocus on details
A good communicator who is able to interact with different levels of management and staff as well as provideclear, concise and compelling messages both verbally and in writing
Strong data analysis and reporting skills including sound knowledge of tabular data modelling (with e.g. SQLServer, Power BI, Tableau or equivalent solutions)
Proactive, independent and solution-oriented approach and ability to work under pressure
Prior knowledge of ERP-systems (including work on ERP customization), Abacus/Abaproject as an advantage
Fluent English spoken and written, knowledge of German / French / Spanish as a plus
Willingness to travel
For foreign applicants: Permit B oder C in Switzerland is a preconditionA job at Swisscontact is characterised by attractive working conditions such as 5 weeks' holiday and a 40-hour week aswell as an interesting, internationally oriented working day. Are you interested in making a contribution todevelopment cooperation at a salary customary in the NGO sector? Then we look forward to receiving yourcompleteapplication to:www.swisscontact.org/jobsProject Data Analyst / Controller(80-100%)We create Opportunities
23/03/2020
Full time
Swisscontact is the business-oriented independent foundation for international development cooperation. Representedin 36 countries with over 1100 employees, it has been promoting economic, social and environmental developmentsince 1959.To support the finance department at Head Office, operating in an international environment with decentralizedstructures, we are looking for a:Project Data Analyst / Controller (80-100%)Start of employment:Immediately or by agreementType of Contract:PermanentLocation:ZurichTasks
Analyse project reporting requirements of our key project donors and consult our project managers andacquisitions / accounting teams on project budgeting standards, budget structuring“good practice”as well as onthe effective use of available and to-be-developed internal monitoring tools, templates and processes
Develop, test and roll out new tools and processes to efficiently administer project budgets in our ERP system(Abacus)
Create, improve and share various financial reports to support timely, efficient and compliant project accountingin our ERP system (by means of leveraging your understanding of ERP architecture design, data extraction andtransformation as well as data modelling techniques)
Support and co-operate with the controlling and business intelligence department as well as with our externalERP developers to digitize key finance processes and donor reporting in line with the needs of our donors,management and staff
Support the sustainable development / improvement of our ERP system (Abacus and Abaproject)
Support in compiling data for the preparation of the annual financial statements.Requirements
University degree or commercial apprenticeship (KV) with relevant further education and expertise in businessinformatics, data warehousing/modelling, controlling, finance, accounting or mathematics
At least 3 years of professional experience in data analysis or controlling
Strong analytical and conceptual skills and an ability to quickly understand complex business processes as well asfocus on details
A good communicator who is able to interact with different levels of management and staff as well as provideclear, concise and compelling messages both verbally and in writing
Strong data analysis and reporting skills including sound knowledge of tabular data modelling (with e.g. SQLServer, Power BI, Tableau or equivalent solutions)
Proactive, independent and solution-oriented approach and ability to work under pressure
Prior knowledge of ERP-systems (including work on ERP customization), Abacus/Abaproject as an advantage
Fluent English spoken and written, knowledge of German / French / Spanish as a plus
Willingness to travel
For foreign applicants: Permit B oder C in Switzerland is a preconditionA job at Swisscontact is characterised by attractive working conditions such as 5 weeks' holiday and a 40-hour week aswell as an interesting, internationally oriented working day. Are you interested in making a contribution todevelopment cooperation at a salary customary in the NGO sector? Then we look forward to receiving yourcompleteapplication to:www.swisscontact.org/jobsProject Data Analyst / Controller(80-100%)We create Opportunities
Acino is a Swiss pharmaceutical company, leader in advanced drug delivery technologies. We have a clear focus on selected emerging markets in the Middle East, Africa, the CIS Region, and Latin America, and we operate in some of the most dynamic countries of the world. We value courage, commitment, trust, and empathy and provide an environment that supports initiative and effort. We are proud to be action-oriented and open-minded, with a strong focus on quality and product availability, even in remote and hard to reach areas of the world.
Your main responsibilities include:
Act as a key contact for Regions and other departments for portfolio activities
Lead discussions with regions about their needs, strategy and etc.
Apply pharma & generics industry experience on proposed portfolio products to drive competitive assumptions and support product forecasting and financial evaluation
Distillation of both scientific and commercial research of the products into sound recommendations, forecasts, and business cases that are required for internal approval of the opportunities
Develop and lead performance measures, analytics and data visualizations (e.g. Power BI) to generate evidence and business insights to enable operational efficiency, optimal decision-making and targeted communications to stakeholders
Develop forecasting tool and business assessment playbook for the regions to ensure consistency of analyses across regions
Identification of new product opportunities using appropriate market intelligence databases and quantitative analyses
Support on ad-hoc requests/projects in a timely and accurate manner (e.g. Corporate strategy, portfolio optimization projects, etc.)
Your profile – Background:
5+ years’ experience in the pharmaceutical industry or experience in Corporate Strategy, management consulting in Healthcare / Market Research or Business analytics role in Healthcare companies
Deep knowledge of the Pharma industry and within the Health Care Environment
Experience in handling large and complex excel data analysis and project management tools
Expertise in working with and analyzing various Pharmaceutical databases preferred, e.g., IMS/IQVIA
M&A / Due Diligence experience represent a plus
Experience in the Generics industry represents a plus
Your profile – Capabilities:
Strong analytical skills
Modelling experience, capability to build forecast models and dashboards
Strong business assessment and market analysis experience gained from experience in consulting, market research analysis or business insight role in a pharmaceutical company
Experience in advisory roles, ideally within consulting
Ability to synthesize data and story boards
Can do attitude
Sense of urgency
Independent thinker
Fluency in written and spoken English
This is the opportunity to join a very dynamic organization, where decisions are taken fast and where you can actively participate in shaping our future. If this sounds exciting, we would love to hear more about you! Please send us your complete application to – preferably via e-mail into one PDF document – to Ms. Emmanuelle Leblanc.
Emmanuelle Lebanc HRBP & Talent Acquisition
HR.International@acino.swiss
We are looking forward to the opportunity to get to know you.
Only direct applications are considered.
21/03/2020
Full time
Acino is a Swiss pharmaceutical company, leader in advanced drug delivery technologies. We have a clear focus on selected emerging markets in the Middle East, Africa, the CIS Region, and Latin America, and we operate in some of the most dynamic countries of the world. We value courage, commitment, trust, and empathy and provide an environment that supports initiative and effort. We are proud to be action-oriented and open-minded, with a strong focus on quality and product availability, even in remote and hard to reach areas of the world.
Your main responsibilities include:
Act as a key contact for Regions and other departments for portfolio activities
Lead discussions with regions about their needs, strategy and etc.
Apply pharma & generics industry experience on proposed portfolio products to drive competitive assumptions and support product forecasting and financial evaluation
Distillation of both scientific and commercial research of the products into sound recommendations, forecasts, and business cases that are required for internal approval of the opportunities
Develop and lead performance measures, analytics and data visualizations (e.g. Power BI) to generate evidence and business insights to enable operational efficiency, optimal decision-making and targeted communications to stakeholders
Develop forecasting tool and business assessment playbook for the regions to ensure consistency of analyses across regions
Identification of new product opportunities using appropriate market intelligence databases and quantitative analyses
Support on ad-hoc requests/projects in a timely and accurate manner (e.g. Corporate strategy, portfolio optimization projects, etc.)
Your profile – Background:
5+ years’ experience in the pharmaceutical industry or experience in Corporate Strategy, management consulting in Healthcare / Market Research or Business analytics role in Healthcare companies
Deep knowledge of the Pharma industry and within the Health Care Environment
Experience in handling large and complex excel data analysis and project management tools
Expertise in working with and analyzing various Pharmaceutical databases preferred, e.g., IMS/IQVIA
M&A / Due Diligence experience represent a plus
Experience in the Generics industry represents a plus
Your profile – Capabilities:
Strong analytical skills
Modelling experience, capability to build forecast models and dashboards
Strong business assessment and market analysis experience gained from experience in consulting, market research analysis or business insight role in a pharmaceutical company
Experience in advisory roles, ideally within consulting
Ability to synthesize data and story boards
Can do attitude
Sense of urgency
Independent thinker
Fluency in written and spoken English
This is the opportunity to join a very dynamic organization, where decisions are taken fast and where you can actively participate in shaping our future. If this sounds exciting, we would love to hear more about you! Please send us your complete application to – preferably via e-mail into one PDF document – to Ms. Emmanuelle Leblanc.
Emmanuelle Lebanc HRBP & Talent Acquisition
HR.International@acino.swiss
We are looking forward to the opportunity to get to know you.
Only direct applications are considered.
Together we build the future of last mile delivery and grocery shopping. Backed by a major Swiss venture fund, MIACAR successfully launched in the region of Bern and we are now growing our company at high speed. Join us in becoming the category king in Switzerland and help us giving our customers what they really want: More time for the beautiful things in life. Tasks
Manage the end-to-end development of technical solutions, from partnering with multiple stakeholders to gathering detailed business requirements, through technical design, development, testing, and implementation
Work on concurrent initiatives automating our business processes
Translate analytic insights into concrete, actionable recommendations for business or product improvement
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, MTEC or other quantitative field combined with a passion for solving business problems
Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions, develop business cases, and complete root cause analyses
Proficient in at least one programming language (e.g., Python, Java, JavaScript, R)
Experience extracting and transforming data sets with SQL
Fluency in English
Passion for grocery/logistics/e-commerce industries
Nice-to-Have:
Experience using Data Warehouse solutions and BI Tools in a business environment with large-scale, complex datasets (e.g. Teradata, AWS RDS, Looker, Tableau, Kibana, MS Excel)
Fluency in German
Work experience in e-commerce and/or food trade
Internship with a top strategy consulting firm, alternatively a top-tier tech company
Benefits
Be a key player in the most ambitious Swiss online food story
Highly motivated, dynamic and international team
Diverse and gender balanced work environment
Fame and glory for what you will have built
No bulls\*\*t, down to earth, yet high caliber work environment
Sounds like you? Submit your application for MIACAR and be a "Hero of the first hour"! We are looking forward to hearing from you.
21/03/2020
Full time
Together we build the future of last mile delivery and grocery shopping. Backed by a major Swiss venture fund, MIACAR successfully launched in the region of Bern and we are now growing our company at high speed. Join us in becoming the category king in Switzerland and help us giving our customers what they really want: More time for the beautiful things in life. Tasks
Manage the end-to-end development of technical solutions, from partnering with multiple stakeholders to gathering detailed business requirements, through technical design, development, testing, and implementation
Work on concurrent initiatives automating our business processes
Translate analytic insights into concrete, actionable recommendations for business or product improvement
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, MTEC or other quantitative field combined with a passion for solving business problems
Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions, develop business cases, and complete root cause analyses
Proficient in at least one programming language (e.g., Python, Java, JavaScript, R)
Experience extracting and transforming data sets with SQL
Fluency in English
Passion for grocery/logistics/e-commerce industries
Nice-to-Have:
Experience using Data Warehouse solutions and BI Tools in a business environment with large-scale, complex datasets (e.g. Teradata, AWS RDS, Looker, Tableau, Kibana, MS Excel)
Fluency in German
Work experience in e-commerce and/or food trade
Internship with a top strategy consulting firm, alternatively a top-tier tech company
Benefits
Be a key player in the most ambitious Swiss online food story
Highly motivated, dynamic and international team
Diverse and gender balanced work environment
Fame and glory for what you will have built
No bulls\*\*t, down to earth, yet high caliber work environment
Sounds like you? Submit your application for MIACAR and be a "Hero of the first hour"! We are looking forward to hearing from you.
Seit bald 10 Jahren beraten und unterstützen wir unsere namhaften Kunden kompetent bei den Herausforderungen und Chancen der Digitalisierung. Unsere Kernkompetenzen sind Data Engineering, Enterprise Agility und Software Engineering. Mit über 50 Consultants sind wir ein starker Partner für unsere Kunden und wachsen weiter. Eine Qualität, mit der wir nicht nur ein beeindruckendes Wachstum generieren, sondern kontinuierlich namhafte Schweizer Grossunternehmen überzeugen. Du suchst eine neue Herausforderung und anspruchsvolle Aufgaben? Dann bist Du bei uns richtig, denn wir suchen engagierte Experten für unsere Inhouse- sowie Kundenprojekte. Aufgaben
Aufbau und Grundstein für ein neues MDM, insbes. Identity Access Management, Referenzdaten wie OE Strukturen, NOGA Codes, Code-Referenzen etc.
Aufbau MDM Modell
Evaluation von geeigneten Tools
Aufbau Prototyp / Pilot
Analyse der bestehenden Daten Architektur und Definition des Zielbildes für Struktur- und Referenzdaten
Aufzeigen von Lösungsvarianten auf architektonischer Ebene
Modellierung von Datenmodellen (Informationsobjekte, relationale Datenmodelle)
Definition der Schnittstellen (Batch und API’s) und Integration mit anderen Backend Systemen oder Datenbanken sowie Frontend Systemen
Aufbau, Weiterentwicklung von Komponenten der zentralen Infrastruktur für Struktur- und Referenzdaten
Beratung und Unterstützung von Applikations-, Prozess- und Projektverantwortlichen bezüglich der Anbindung von Applikationen und Prozessen an sowie deren Integration in die zentrale Struktur und Referenzdaten-Infrastruktur;
Definition von Standards, Regelungen und Prozessen im Struktur- und Referenzdaten Umfeld
Qualifikation
Hoch- oder Fachhochschulabschluss in Wirtschafts-Informatik (oder vergleichbare Ausbildung) mit mindestens 3 Jahren fundierter Berufserfahrung mit der Modellierung und Implementierung von Datamanagement-Lösungen
Erfahrungen beim Aufbau von MDM Applikationen
Erfahrung mit mind. einem MDM Tool
Wie geht man mit Hierarchien, Versionierung von MDM Strukturen und Daten um?
Datenmodell MDM
MDM Architektur
Erfahrung und fundiertes Know How mit API’s und Datenbanken (SQL-Server)
hohe analytische und konzeptionelle Fähigkeiten, kommunikative Stärke, Zuverlässigkeit und Durchsetzungsvermögen, Teamfähigkeit sowie Dienstleistungsorientierung
Selbständige Arbeitsweise und Gespür für aufgabenorientierte Priorisierung
Mündliche und schriftliche Kommunikation auf Deutsch sowie auf Englisch.
Benefits NEUGIERDE, UNTERNEHMERTUM und INDIVIDUALITÄT werden bei uns grossgeschrieben Unternehmensmodell ohne Hierarchien, organisiert in agilen Kompetenz-Zellen als Netzwerken von Experten Sehr attraktives unternehmerisches Gehaltsmodell mit individuellem Profit-Sharing Karriereentwicklung gemäss persönlicher Interessen auf Basis von Selbst-Verantwortung Sehr flexible Arbeitszeitmodelle: Vereinbarkeit von Beruf, Familie und Privatleben ist uns sehr wichtig Erfolge gemeinsam feiern! Für ergänzende Fragen stehe ich Dir gerne zur Verfügung Enes Üzmez Head of Recruiting Tel: +41 43 540 57 23 Mobil: +41 76 559 53 54 Mail: enes.uezmez (at) callista.group https://callista.group/de
21/03/2020
Full time
Seit bald 10 Jahren beraten und unterstützen wir unsere namhaften Kunden kompetent bei den Herausforderungen und Chancen der Digitalisierung. Unsere Kernkompetenzen sind Data Engineering, Enterprise Agility und Software Engineering. Mit über 50 Consultants sind wir ein starker Partner für unsere Kunden und wachsen weiter. Eine Qualität, mit der wir nicht nur ein beeindruckendes Wachstum generieren, sondern kontinuierlich namhafte Schweizer Grossunternehmen überzeugen. Du suchst eine neue Herausforderung und anspruchsvolle Aufgaben? Dann bist Du bei uns richtig, denn wir suchen engagierte Experten für unsere Inhouse- sowie Kundenprojekte. Aufgaben
Aufbau und Grundstein für ein neues MDM, insbes. Identity Access Management, Referenzdaten wie OE Strukturen, NOGA Codes, Code-Referenzen etc.
Aufbau MDM Modell
Evaluation von geeigneten Tools
Aufbau Prototyp / Pilot
Analyse der bestehenden Daten Architektur und Definition des Zielbildes für Struktur- und Referenzdaten
Aufzeigen von Lösungsvarianten auf architektonischer Ebene
Modellierung von Datenmodellen (Informationsobjekte, relationale Datenmodelle)
Definition der Schnittstellen (Batch und API’s) und Integration mit anderen Backend Systemen oder Datenbanken sowie Frontend Systemen
Aufbau, Weiterentwicklung von Komponenten der zentralen Infrastruktur für Struktur- und Referenzdaten
Beratung und Unterstützung von Applikations-, Prozess- und Projektverantwortlichen bezüglich der Anbindung von Applikationen und Prozessen an sowie deren Integration in die zentrale Struktur und Referenzdaten-Infrastruktur;
Definition von Standards, Regelungen und Prozessen im Struktur- und Referenzdaten Umfeld
Qualifikation
Hoch- oder Fachhochschulabschluss in Wirtschafts-Informatik (oder vergleichbare Ausbildung) mit mindestens 3 Jahren fundierter Berufserfahrung mit der Modellierung und Implementierung von Datamanagement-Lösungen
Erfahrungen beim Aufbau von MDM Applikationen
Erfahrung mit mind. einem MDM Tool
Wie geht man mit Hierarchien, Versionierung von MDM Strukturen und Daten um?
Datenmodell MDM
MDM Architektur
Erfahrung und fundiertes Know How mit API’s und Datenbanken (SQL-Server)
hohe analytische und konzeptionelle Fähigkeiten, kommunikative Stärke, Zuverlässigkeit und Durchsetzungsvermögen, Teamfähigkeit sowie Dienstleistungsorientierung
Selbständige Arbeitsweise und Gespür für aufgabenorientierte Priorisierung
Mündliche und schriftliche Kommunikation auf Deutsch sowie auf Englisch.
Benefits NEUGIERDE, UNTERNEHMERTUM und INDIVIDUALITÄT werden bei uns grossgeschrieben Unternehmensmodell ohne Hierarchien, organisiert in agilen Kompetenz-Zellen als Netzwerken von Experten Sehr attraktives unternehmerisches Gehaltsmodell mit individuellem Profit-Sharing Karriereentwicklung gemäss persönlicher Interessen auf Basis von Selbst-Verantwortung Sehr flexible Arbeitszeitmodelle: Vereinbarkeit von Beruf, Familie und Privatleben ist uns sehr wichtig Erfolge gemeinsam feiern! Für ergänzende Fragen stehe ich Dir gerne zur Verfügung Enes Üzmez Head of Recruiting Tel: +41 43 540 57 23 Mobil: +41 76 559 53 54 Mail: enes.uezmez (at) callista.group https://callista.group/de
Seit bald 10 Jahren beraten und unterstützen wir unsere namhaften Kunden kompetent bei den Herausforderungen und Chancen der Digitalisierung. Unsere Kernkompetenzen sind Data Engineering, Enterprise Agility und Software Engineering. Mit über 50 Consultants sind wir ein starker Partner für unsere Kunden und wachsen weiter. Eine Qualität, mit der wir nicht nur ein beeindruckendes Wachstum generieren, sondern kontinuierlich namhafte Schweizer Grossunternehmen überzeugen. Du suchst eine neue Herausforderung und anspruchsvolle Aufgaben? Dann bist Du bei uns richtig, denn wir suchen engagierte Experten für unsere Inhouse- sowie Kundenprojekte. Aufgaben
Aufbau und Grundstein für ein neues MDM, insbes. Identity Access Management, Referenzdaten wie OE Strukturen, NOGA Codes, Code-Referenzen etc.
Aufbau MDM Modell
Evaluation von geeigneten Tools
Aufbau Prototyp / Pilot
Analyse der bestehenden Datenmanagement Lösungen für Struktur- und Referenzdaten
Analyse der Use Cases (existierend und neu)
Definition der Business Requirements mit Stakeholdern
Unterstützung bei der Definition der Schnittstellen (Batch und API’s) und Integration mit anderen Backend Systemen und Datenbanken
Erfahrung in der Implementierung der Requirements sowie Schnittstellendefinitionen im Bereich von Referenz- und Master Data Management
Aufbau, Weiterentwicklung von Komponenten der zentralen Infrastruktur für Struktur- und Referenzdaten
Beratung und Unterstützung von Applikations-, Prozess- und Projektverantwortlichen bezüglich der Anbindung von Applikationen und Prozessen an und deren Integration in die zentrale Infrastruktur;
Qualifikation
Hoch- oder Fachhochschulabschluss in Wirtschafts-Informatik (oder vergleichbare Ausbildung) mit mindestens 3 Jahren fundierter Berufserfahrung mit der Implementierung von Datamanagement- Lösungen
Erfahrungen beim Aufbau von MDM Applikationen
Erfahrung mit mind. einem MDM Tool
Wie geht man mit Hierarchien, Versionierung von MDM Strukturen und Daten um?
Datenmodell MDM
MDM Architektur
Erfahrung und Know How mit API’s und Datenbanken (SQL-Server)
Hohe analytische und konzeptionelle Fähigkeiten, kommunikative Stärke, Zuverlässigkeit und Durchsetzungsvermögen, Teamfähigkeit sowie Dienstleistungsorientierung
Selbständige Arbeitsweise und Gespür für aufgabenorientierte Priorisierung
Mündliche und schriftliche Kommunikation auf Deutsch sowie auf Englisch.
Benefits NEUGIERDE, UNTERNEHMERTUM und INDIVIDUALITÄT werden bei uns grossgeschrieben Unternehmensmodell ohne Hierarchien, organisiert in agilen Kompetenz-Zellen als Netzwerken von Experten Sehr attraktives unternehmerisches Gehaltsmodell mit individuellem Profit-Sharing Karriereentwicklung gemäss persönlicher Interessen auf Basis von Selbst-Verantwortung Sehr flexible Arbeitszeitmodelle: Vereinbarkeit von Beruf, Familie und Privatleben ist uns sehr wichtig Erfolge gemeinsam feiern! Für ergänzende Fragen stehe ich Dir gerne zur Verfügung Enes Üzmez Head of Recruiting Tel: +41 43 540 57 23 Mobil: +41 76 559 53 54 Mail: enes.uezmez (at) callista.group https://callista.group/de
21/03/2020
Full time
Seit bald 10 Jahren beraten und unterstützen wir unsere namhaften Kunden kompetent bei den Herausforderungen und Chancen der Digitalisierung. Unsere Kernkompetenzen sind Data Engineering, Enterprise Agility und Software Engineering. Mit über 50 Consultants sind wir ein starker Partner für unsere Kunden und wachsen weiter. Eine Qualität, mit der wir nicht nur ein beeindruckendes Wachstum generieren, sondern kontinuierlich namhafte Schweizer Grossunternehmen überzeugen. Du suchst eine neue Herausforderung und anspruchsvolle Aufgaben? Dann bist Du bei uns richtig, denn wir suchen engagierte Experten für unsere Inhouse- sowie Kundenprojekte. Aufgaben
Aufbau und Grundstein für ein neues MDM, insbes. Identity Access Management, Referenzdaten wie OE Strukturen, NOGA Codes, Code-Referenzen etc.
Aufbau MDM Modell
Evaluation von geeigneten Tools
Aufbau Prototyp / Pilot
Analyse der bestehenden Datenmanagement Lösungen für Struktur- und Referenzdaten
Analyse der Use Cases (existierend und neu)
Definition der Business Requirements mit Stakeholdern
Unterstützung bei der Definition der Schnittstellen (Batch und API’s) und Integration mit anderen Backend Systemen und Datenbanken
Erfahrung in der Implementierung der Requirements sowie Schnittstellendefinitionen im Bereich von Referenz- und Master Data Management
Aufbau, Weiterentwicklung von Komponenten der zentralen Infrastruktur für Struktur- und Referenzdaten
Beratung und Unterstützung von Applikations-, Prozess- und Projektverantwortlichen bezüglich der Anbindung von Applikationen und Prozessen an und deren Integration in die zentrale Infrastruktur;
Qualifikation
Hoch- oder Fachhochschulabschluss in Wirtschafts-Informatik (oder vergleichbare Ausbildung) mit mindestens 3 Jahren fundierter Berufserfahrung mit der Implementierung von Datamanagement- Lösungen
Erfahrungen beim Aufbau von MDM Applikationen
Erfahrung mit mind. einem MDM Tool
Wie geht man mit Hierarchien, Versionierung von MDM Strukturen und Daten um?
Datenmodell MDM
MDM Architektur
Erfahrung und Know How mit API’s und Datenbanken (SQL-Server)
Hohe analytische und konzeptionelle Fähigkeiten, kommunikative Stärke, Zuverlässigkeit und Durchsetzungsvermögen, Teamfähigkeit sowie Dienstleistungsorientierung
Selbständige Arbeitsweise und Gespür für aufgabenorientierte Priorisierung
Mündliche und schriftliche Kommunikation auf Deutsch sowie auf Englisch.
Benefits NEUGIERDE, UNTERNEHMERTUM und INDIVIDUALITÄT werden bei uns grossgeschrieben Unternehmensmodell ohne Hierarchien, organisiert in agilen Kompetenz-Zellen als Netzwerken von Experten Sehr attraktives unternehmerisches Gehaltsmodell mit individuellem Profit-Sharing Karriereentwicklung gemäss persönlicher Interessen auf Basis von Selbst-Verantwortung Sehr flexible Arbeitszeitmodelle: Vereinbarkeit von Beruf, Familie und Privatleben ist uns sehr wichtig Erfolge gemeinsam feiern! Für ergänzende Fragen stehe ich Dir gerne zur Verfügung Enes Üzmez Head of Recruiting Tel: +41 43 540 57 23 Mobil: +41 76 559 53 54 Mail: enes.uezmez (at) callista.group https://callista.group/de
Summary
Posted: Dec 16, 2019
Role Number: 200134046
As an engineer in the Special Projects Group, you will be part of a team building infrastructure and tools for exciting new technologies that will shape the future. You will work in a startup-like environment where products are still being defined and developed, giving you the chance to influence some of the core tools used by the project. You will be part of every stage of development from concept to deployment. We are looking for an engineer to architect, build and scale a robust ecosystem for data processing and compute services. Specifically you will develop solutions that will orchestrate and support the seamless transitioning of petabytes of data through different stages like ingestion, indexing/mining, transformation, machine learning and algorithm validation. You’ll join a phenomenal team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. We will research and develop innovative ML strategies for challenging problems that will affect future Apple products. We hope you’re passionate about the values that drive us.Key Qualifications
You have hands-on experience in building distributed systems, including real-time streaming and batch data processing
You are proficient in multiple programming languages relevant for such systems (e.g. Python, Java, C++, Go)
You know what it takes to deploy and operate high availability production systems in the cloud
You have experience designing service-oriented architectures and using various data stores technologies (blob, NoSQL, and relational)
You have experience with cloud computing platform like AWS, GCP and Azure
Description
Develop and scale a data processing platform using the latest open-source technologies Develop an ETL plugin system that will enable researchers and other developers to submit and run data processing jobs in the cloud easily Define a consistent continuous integration/deployment model that will encourage multi-functional development teams to self-service application unit testing, deployment and operations Influence and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies Experience with full stack application development Experience with Machine Learning / Artificial Intelligence research and development projectsEducation & ExperienceBS OR MS CS/CE/EE (OR EQUIVALENT)
21/03/2020
Full time
Summary
Posted: Dec 16, 2019
Role Number: 200134046
As an engineer in the Special Projects Group, you will be part of a team building infrastructure and tools for exciting new technologies that will shape the future. You will work in a startup-like environment where products are still being defined and developed, giving you the chance to influence some of the core tools used by the project. You will be part of every stage of development from concept to deployment. We are looking for an engineer to architect, build and scale a robust ecosystem for data processing and compute services. Specifically you will develop solutions that will orchestrate and support the seamless transitioning of petabytes of data through different stages like ingestion, indexing/mining, transformation, machine learning and algorithm validation. You’ll join a phenomenal team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. We will research and develop innovative ML strategies for challenging problems that will affect future Apple products. We hope you’re passionate about the values that drive us.Key Qualifications
You have hands-on experience in building distributed systems, including real-time streaming and batch data processing
You are proficient in multiple programming languages relevant for such systems (e.g. Python, Java, C++, Go)
You know what it takes to deploy and operate high availability production systems in the cloud
You have experience designing service-oriented architectures and using various data stores technologies (blob, NoSQL, and relational)
You have experience with cloud computing platform like AWS, GCP and Azure
Description
Develop and scale a data processing platform using the latest open-source technologies Develop an ETL plugin system that will enable researchers and other developers to submit and run data processing jobs in the cloud easily Define a consistent continuous integration/deployment model that will encourage multi-functional development teams to self-service application unit testing, deployment and operations Influence and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies Experience with full stack application development Experience with Machine Learning / Artificial Intelligence research and development projectsEducation & ExperienceBS OR MS CS/CE/EE (OR EQUIVALENT)
Glattpark (Opfikon - Zürich)
Duties and responsibilities:
Manage and operate Sunrise fixed data network.
Perform diagnostics on Fixed Data Network elements and run tests against the impacted resources to identify of cause of specific trouble.
Manage medium to large provisioning tasks configuring network elements and testing end-to-end service.
Create, plan and submit Change Request on the Fixed Data Network.
Troubleshoot Customer Trouble Tickets.
Perform complex preventive maintenance tasks.
Determine the (security) risk and impact of implementing a Change Request.
Monitor and maintain the operational status of fixed network through regular evaluation of trouble ticket reports and performance statistics.
Perform configuration changes in the network related to NTT or driven by Sunrise engineering work orders.
Complete technical support deliverables as defined in the project plan.
Keep up to date with latest development of telecommunications technologies.
Maintain close relations with third parties (i.e. vendors) to be able to monitor progress of reported problems, known caveats, newly available features, software upgrades and hardware products.
Foresee possible conflicts and improvements to operational services.
Assist in design, engineering, testing and rollout of newly defined Sunrise products.
Qualifications:
Degree in Telecommunication or Computer Science, CCNP-SP/CCIE certification level.
At least 5 years’ experience in Fixed Data network operation and management.
Fluency in English is a must, German is considered as a plus.
Experience with Operators’ O&M Departments or other Managed Services Organizations is a plus.
Comprehensive and in-depth knowledge of Fixed Data Network architecture.
Consolidated experience with systems and technologies from Huawei, Cisco, Juniper.
Knowledge of Clarify and Remedy tickets tools, Adtran DSLAM, Huawei/Cisco/Juniper high-end routers and L3 switches, IP Quartz Clock, MPLS, LDP, L2VPN Martini and Kompella drafts, L3VPN, MP-BGP, NG-MVPN, ISIS, OSPF, eBGP internet peering, Router Reflectors, XML and scripting languages
Proven ability to participate in large scale projects, to implement project requirements and to provide project technical support.
Capability to understand process frameworks and to support process implementation and optimization.
Extensive practice in drawing up technical or operational specifications and to understand requirements from the customer or the field forces.
Solid understanding of security rules and standards.
Ability to work in a culturally diverse, high paced organization.
At Sunrise, you will be working in a dynamic environment where a lot can be achieved through dedication. A wide range of opportunities for professional development will be available to you. In addition to progressive employee benefits, you will receive attractive telecommunications offers. We believe that teamwork is the key to making work fun. Do you agree? Then seize the moment and apply online! Please note that we only accept applications via our online tool.
19/03/2020
Full time
Glattpark (Opfikon - Zürich)
Duties and responsibilities:
Manage and operate Sunrise fixed data network.
Perform diagnostics on Fixed Data Network elements and run tests against the impacted resources to identify of cause of specific trouble.
Manage medium to large provisioning tasks configuring network elements and testing end-to-end service.
Create, plan and submit Change Request on the Fixed Data Network.
Troubleshoot Customer Trouble Tickets.
Perform complex preventive maintenance tasks.
Determine the (security) risk and impact of implementing a Change Request.
Monitor and maintain the operational status of fixed network through regular evaluation of trouble ticket reports and performance statistics.
Perform configuration changes in the network related to NTT or driven by Sunrise engineering work orders.
Complete technical support deliverables as defined in the project plan.
Keep up to date with latest development of telecommunications technologies.
Maintain close relations with third parties (i.e. vendors) to be able to monitor progress of reported problems, known caveats, newly available features, software upgrades and hardware products.
Foresee possible conflicts and improvements to operational services.
Assist in design, engineering, testing and rollout of newly defined Sunrise products.
Qualifications:
Degree in Telecommunication or Computer Science, CCNP-SP/CCIE certification level.
At least 5 years’ experience in Fixed Data network operation and management.
Fluency in English is a must, German is considered as a plus.
Experience with Operators’ O&M Departments or other Managed Services Organizations is a plus.
Comprehensive and in-depth knowledge of Fixed Data Network architecture.
Consolidated experience with systems and technologies from Huawei, Cisco, Juniper.
Knowledge of Clarify and Remedy tickets tools, Adtran DSLAM, Huawei/Cisco/Juniper high-end routers and L3 switches, IP Quartz Clock, MPLS, LDP, L2VPN Martini and Kompella drafts, L3VPN, MP-BGP, NG-MVPN, ISIS, OSPF, eBGP internet peering, Router Reflectors, XML and scripting languages
Proven ability to participate in large scale projects, to implement project requirements and to provide project technical support.
Capability to understand process frameworks and to support process implementation and optimization.
Extensive practice in drawing up technical or operational specifications and to understand requirements from the customer or the field forces.
Solid understanding of security rules and standards.
Ability to work in a culturally diverse, high paced organization.
At Sunrise, you will be working in a dynamic environment where a lot can be achieved through dedication. A wide range of opportunities for professional development will be available to you. In addition to progressive employee benefits, you will receive attractive telecommunications offers. We believe that teamwork is the key to making work fun. Do you agree? Then seize the moment and apply online! Please note that we only accept applications via our online tool.
DAS ERWARTET SIE
Als unser neuer Experte sind Sie für die Aufnahme fachlicher Anforderungen und Architekturdefinitionen verantwortlich,
insbesondere aus Sicht des Themenkreis Microsoft Business Intelligence unter Nutzung des kompletten Microsoft BI
stacks (MS SQL, SSIS, SSAS, SSRS) und der Programmierung. Sie sind verantwortlich für die Entwicklung von durchgängiger
T-SQL Programmierung auf Microsoft SQL Server 2012/2014/2016, wie auch MDX/DAX Programmierung. Sie begleiten
Kundenprojekte von der Anforderungsaufnahme und Konzeption bis zur Implementierung ziel- und ergebnisorientiert
und steuern die Umsetzung neuer Anforderungen an die BI Architektur. Es erwarten Sie neue Technologien, selbständiges
Arbeiten und ein engagiertes, internationales und dynamisches Team.
DAS ERWARTEN WIR
Als zukünftiges Teammitglied erwarten wir von Ihnen ein abgeschlossenes Studium (Bachelor, Master, FH, oder Uni) mit
Schwerpunkt Informatik, Wirtschaftsinformatik, Wirtschaftsingenieurswesen oder vergleichbare Ausbildung. Sie sollten
zwingend mindestens 3 Jahre Erfahrungen mit Microsoft SQL Server, SQL Analysis Services (MDX, DAX), SQL Reporting
Services und in graphischer Layout Gestaltung (MS Excel, PowerBI, XLCubed, Microstrategy und Tableau) oder
Erfahrungen mit vergleichbaren Lösungen mitbringen. Idealerweise sind Sie bereits Microsoft Certified Solutions Expert
(MCSE) in Data Management and Analytics zertifiziert oder bringen eine ähnliche BI Zertifizierung mit.
Verhandlungssicheres Auftreten in deutscher und englischer Sprache runden Ihre kommunikative, selbständige und
kontaktfreudige Persönlichkeit mit Sozialkompetenz und ausgeprägtem, organisatorischen und kreativen Flair ab.
UNSER VERSPRECHEN
Individuelle Kompetenz, Teamgeist und Loyalität prägen unsere Zusammenarbeit, nicht die Hierarchie. Proaktives
Engagement wird gefördert und belohnt. Wir setzen auf Eigeninitiative. In gezielte Weiterbildung investieren wir, zur
Stärkung von Ihnen und uns.
Schätzen Sie den Geist einer mittelgrossen, soliden Schweizer Unternehmensberatung?
Ihre Ansprechpartnerin ist Frau Sarah Finnegan, Telefon +41 44 441 44 44, sarah.finnegan@bsgroup.ch
Business Solution Group, Buckhauserstrasse 24, CH-8048 Zürich, Telefon +41 44 441 44 44, info@bsgroup.ch,
19/03/2020
Full time
DAS ERWARTET SIE
Als unser neuer Experte sind Sie für die Aufnahme fachlicher Anforderungen und Architekturdefinitionen verantwortlich,
insbesondere aus Sicht des Themenkreis Microsoft Business Intelligence unter Nutzung des kompletten Microsoft BI
stacks (MS SQL, SSIS, SSAS, SSRS) und der Programmierung. Sie sind verantwortlich für die Entwicklung von durchgängiger
T-SQL Programmierung auf Microsoft SQL Server 2012/2014/2016, wie auch MDX/DAX Programmierung. Sie begleiten
Kundenprojekte von der Anforderungsaufnahme und Konzeption bis zur Implementierung ziel- und ergebnisorientiert
und steuern die Umsetzung neuer Anforderungen an die BI Architektur. Es erwarten Sie neue Technologien, selbständiges
Arbeiten und ein engagiertes, internationales und dynamisches Team.
DAS ERWARTEN WIR
Als zukünftiges Teammitglied erwarten wir von Ihnen ein abgeschlossenes Studium (Bachelor, Master, FH, oder Uni) mit
Schwerpunkt Informatik, Wirtschaftsinformatik, Wirtschaftsingenieurswesen oder vergleichbare Ausbildung. Sie sollten
zwingend mindestens 3 Jahre Erfahrungen mit Microsoft SQL Server, SQL Analysis Services (MDX, DAX), SQL Reporting
Services und in graphischer Layout Gestaltung (MS Excel, PowerBI, XLCubed, Microstrategy und Tableau) oder
Erfahrungen mit vergleichbaren Lösungen mitbringen. Idealerweise sind Sie bereits Microsoft Certified Solutions Expert
(MCSE) in Data Management and Analytics zertifiziert oder bringen eine ähnliche BI Zertifizierung mit.
Verhandlungssicheres Auftreten in deutscher und englischer Sprache runden Ihre kommunikative, selbständige und
kontaktfreudige Persönlichkeit mit Sozialkompetenz und ausgeprägtem, organisatorischen und kreativen Flair ab.
UNSER VERSPRECHEN
Individuelle Kompetenz, Teamgeist und Loyalität prägen unsere Zusammenarbeit, nicht die Hierarchie. Proaktives
Engagement wird gefördert und belohnt. Wir setzen auf Eigeninitiative. In gezielte Weiterbildung investieren wir, zur
Stärkung von Ihnen und uns.
Schätzen Sie den Geist einer mittelgrossen, soliden Schweizer Unternehmensberatung?
Ihre Ansprechpartnerin ist Frau Sarah Finnegan, Telefon +41 44 441 44 44, sarah.finnegan@bsgroup.ch
Business Solution Group, Buckhauserstrasse 24, CH-8048 Zürich, Telefon +41 44 441 44 44, info@bsgroup.ch,
Sind Sie eine zukunftsorientierte Person, die gerne jeweils der Zeit einen Schritt voraus ist und entsprechend mit den aktuellsten Tools und Technologien arbeitet? Wenn ja, melden Sie sich unbedingt für die Position als Junior Business Intelligence Specialist. Aufgaben
Sie arbeiten an spannenden BI-Projekten zur Umsetzung der LR Analytics-Strategie
Sie suchen den Austausch mit Kollegen aus den unterschiedlichsten Unternehmensbereichen, um die vielfältigen Business-Anforderungen aufzunehmen
Auf Basis dieser Anforderungen entwickeln Sie neue Dashboards, Analysen und Reports sowie ETL-Prozesse und Datenmodelle in QlikView und Qlik Sense
Die Betreuung, Weiterentwicklung und Administration bereits bestehender BI-Anwendungen sowohl im Back- als auch im Frontend (QlikView / Qlik Sense) gehört ebenfalls zu Ihren Aufgaben
Um die Nutzung der BI-Apps durch die Fachbereiche sicherzustellen, leisten Sie wichtigen User-Support und geben praxisnahe Schulungen für die jeweiligen Anwender
Qualifikation
Sie haben Ihr Studium der Wirtschaftswissenschaften, der Wirtschaftsinformatik, eines vergleichbaren Studiengangs oder eine vergleichbare Ausbildung erfolgreich abgeschlossen
Sie besitzen eine hohe technische Affinität und Programmierkenntnisse
Idealerweise bringen Sie Vorkenntnisse im Umgang mit QlikView, Qlik Sense oder anderen Self-Service BI-Lösungen mit
Gute Kenntnisse in relationalen Datenbanksystemen und im Umgang mit SQL sind vorhanden
Sehr gute MS-Office-Kenntnisse sowie eine strukturierte Arbeitsweise sind für Sie selbstverständlich
Den Austausch mit Kollegen in deutscher und englischer Sprache meistern Sie mit Leichtigkeit
Benefits Sind Sie an dieser anspruchsvollen Herausforderung interessiert? Dann freuen wir uns auf Ihre vollständigen Bewerbungsunterlagen!
19/03/2020
Full time
Sind Sie eine zukunftsorientierte Person, die gerne jeweils der Zeit einen Schritt voraus ist und entsprechend mit den aktuellsten Tools und Technologien arbeitet? Wenn ja, melden Sie sich unbedingt für die Position als Junior Business Intelligence Specialist. Aufgaben
Sie arbeiten an spannenden BI-Projekten zur Umsetzung der LR Analytics-Strategie
Sie suchen den Austausch mit Kollegen aus den unterschiedlichsten Unternehmensbereichen, um die vielfältigen Business-Anforderungen aufzunehmen
Auf Basis dieser Anforderungen entwickeln Sie neue Dashboards, Analysen und Reports sowie ETL-Prozesse und Datenmodelle in QlikView und Qlik Sense
Die Betreuung, Weiterentwicklung und Administration bereits bestehender BI-Anwendungen sowohl im Back- als auch im Frontend (QlikView / Qlik Sense) gehört ebenfalls zu Ihren Aufgaben
Um die Nutzung der BI-Apps durch die Fachbereiche sicherzustellen, leisten Sie wichtigen User-Support und geben praxisnahe Schulungen für die jeweiligen Anwender
Qualifikation
Sie haben Ihr Studium der Wirtschaftswissenschaften, der Wirtschaftsinformatik, eines vergleichbaren Studiengangs oder eine vergleichbare Ausbildung erfolgreich abgeschlossen
Sie besitzen eine hohe technische Affinität und Programmierkenntnisse
Idealerweise bringen Sie Vorkenntnisse im Umgang mit QlikView, Qlik Sense oder anderen Self-Service BI-Lösungen mit
Gute Kenntnisse in relationalen Datenbanksystemen und im Umgang mit SQL sind vorhanden
Sehr gute MS-Office-Kenntnisse sowie eine strukturierte Arbeitsweise sind für Sie selbstverständlich
Den Austausch mit Kollegen in deutscher und englischer Sprache meistern Sie mit Leichtigkeit
Benefits Sind Sie an dieser anspruchsvollen Herausforderung interessiert? Dann freuen wir uns auf Ihre vollständigen Bewerbungsunterlagen!
Unser Geschäftsbereich Transformation ist verantwortlich für die Digitalisierung von Geschäftsprozessen, Data Science und für Einführung von innovativen Anwendungen und Produkten. Dabei steht die Kunden- und Mitarbeiterzentrierung mit Wertschöpfung für Eigentümer, Mieter und Mitarbeitenden im Zentrum.
Suchen Sie nach einer spannenden und verantwortungsvollen Herausforderung in der digitalen Transformation? Zählen die optimale Abwicklung und Unterstützung im Programm Management mit agilen Methoden zu Ihren Stärken? Nach Vereinbarung suchen wir in Winterthur/Zürich Unterstützung als
Project Management Officer (PMO) digitale Transformation (w/m/d)
Ihre Aufgaben
Verantwortung für die organisatorische und administrative Abwicklung von Projekten und Programmen der digitalen Transformation
Agieren als zentrale Anlaufstelle für Projektteams, Unterstützen der Leitung Transformation sowie der Leitung des Portfolios bei Sonderaufgaben
Sicherstellen von einheitlicher und nachhaltiger Anwendung des Projektmanagements entsprechend der Governance Transformation und den Richtlinien des Unternehmens
Unterstützung der Planung und Verantwortung für Termin-, Kosten- sowie Risikokontrolle
Anwendung und Weiterentwicklung der Tools für die effiziente Abwicklung von Projekten mit den Produktownern
"On-boarding" und die Einführung in das Projektmanagement für externe und interne Teammitglieder
Kommunikations-, Informations- und Dokumentationsaufgaben nehmen Sie proaktiv wahr und sorgen für eine klare, transparente Strukturierung, für die Vollständigkeit mit fehlerfreier Abwicklung
Ihr Profil
Kaufmännische und/oder technische Grundausbildung, sowie über eine höhere Ausbildung z.B. FH, Uni in Betriebswirtschaft, Informatik
Mindestens 3-jährige Berufserfahrung in einer vergleichbaren Funktion, vorzugsweise im komplexen Projektumfeld z.B. für Digitalisierung und/oder IT-, Change Management erleichtern den Einstieg
Fundierte Erfahrung im agilen Projekt Management mit sehr guten Kenntnissen in der Anwendung von MS Office und gängigen Projektmanagement Tools
Schnelle Auffassungsgabe und exakte, strukturierte, organisierte Arbeitsweise mit hoher Dienstleistungsorientierung
Ausgeprägtes analytisch-konzeptionelles und lösungsorientiertes Denkvermögen mit hohem Qualitätsanspruch und Selbstständigkeit
Teamorientierte, durchsetzungsfähige, offene und kommunikative Persönlichkeit
Stilsichere Deutschkenntnisse in Wort und Schrift sind die Voraussetzung sowie gute Französischkenntnisse sind ein Pluspunkt
Das bieten wir:
… #weworksmart - Flexible Arbeitszeitmodelle (wie Home-Office, Co-working-spaces, Gleitzeit, und orts- / zeitunabhängiges Arbeiten)
… Attraktive Nebenleistungen (Zukauf von extra Ferien, Rabatte auf ausgewählte Hotels und Fitness Abo's)
… Ein dynamisches und agiles, sich im Wandel befindendes Umfeld und abwechslungsreiche Aufgaben
… Ein motiviertes Team, dass sich auf deine Verstärkung für die erfolgreiche Abwicklung unserer Kundenanliegen freut
… Strukturierte Arbeitsabläufe und professionelle Arbeitsinstrumente erleichtern dir den Einstieg.
… Fortwährende Weiterbildungen, die wir unterstützen, sichern dir den langfristigen Erfolg und nächsten Karriereschritt
Für allfällige Fragen steht dir unser Recruiting-Hotline-Team unter der Telefonnummer +41 (0)52 268 98 80 gerne zur Verfügung.
(Für diese Rekrutierung berücksichtigen wir nur Direktbewerbungen)
19/03/2020
Full time
Unser Geschäftsbereich Transformation ist verantwortlich für die Digitalisierung von Geschäftsprozessen, Data Science und für Einführung von innovativen Anwendungen und Produkten. Dabei steht die Kunden- und Mitarbeiterzentrierung mit Wertschöpfung für Eigentümer, Mieter und Mitarbeitenden im Zentrum.
Suchen Sie nach einer spannenden und verantwortungsvollen Herausforderung in der digitalen Transformation? Zählen die optimale Abwicklung und Unterstützung im Programm Management mit agilen Methoden zu Ihren Stärken? Nach Vereinbarung suchen wir in Winterthur/Zürich Unterstützung als
Project Management Officer (PMO) digitale Transformation (w/m/d)
Ihre Aufgaben
Verantwortung für die organisatorische und administrative Abwicklung von Projekten und Programmen der digitalen Transformation
Agieren als zentrale Anlaufstelle für Projektteams, Unterstützen der Leitung Transformation sowie der Leitung des Portfolios bei Sonderaufgaben
Sicherstellen von einheitlicher und nachhaltiger Anwendung des Projektmanagements entsprechend der Governance Transformation und den Richtlinien des Unternehmens
Unterstützung der Planung und Verantwortung für Termin-, Kosten- sowie Risikokontrolle
Anwendung und Weiterentwicklung der Tools für die effiziente Abwicklung von Projekten mit den Produktownern
"On-boarding" und die Einführung in das Projektmanagement für externe und interne Teammitglieder
Kommunikations-, Informations- und Dokumentationsaufgaben nehmen Sie proaktiv wahr und sorgen für eine klare, transparente Strukturierung, für die Vollständigkeit mit fehlerfreier Abwicklung
Ihr Profil
Kaufmännische und/oder technische Grundausbildung, sowie über eine höhere Ausbildung z.B. FH, Uni in Betriebswirtschaft, Informatik
Mindestens 3-jährige Berufserfahrung in einer vergleichbaren Funktion, vorzugsweise im komplexen Projektumfeld z.B. für Digitalisierung und/oder IT-, Change Management erleichtern den Einstieg
Fundierte Erfahrung im agilen Projekt Management mit sehr guten Kenntnissen in der Anwendung von MS Office und gängigen Projektmanagement Tools
Schnelle Auffassungsgabe und exakte, strukturierte, organisierte Arbeitsweise mit hoher Dienstleistungsorientierung
Ausgeprägtes analytisch-konzeptionelles und lösungsorientiertes Denkvermögen mit hohem Qualitätsanspruch und Selbstständigkeit
Teamorientierte, durchsetzungsfähige, offene und kommunikative Persönlichkeit
Stilsichere Deutschkenntnisse in Wort und Schrift sind die Voraussetzung sowie gute Französischkenntnisse sind ein Pluspunkt
Das bieten wir:
… #weworksmart - Flexible Arbeitszeitmodelle (wie Home-Office, Co-working-spaces, Gleitzeit, und orts- / zeitunabhängiges Arbeiten)
… Attraktive Nebenleistungen (Zukauf von extra Ferien, Rabatte auf ausgewählte Hotels und Fitness Abo's)
… Ein dynamisches und agiles, sich im Wandel befindendes Umfeld und abwechslungsreiche Aufgaben
… Ein motiviertes Team, dass sich auf deine Verstärkung für die erfolgreiche Abwicklung unserer Kundenanliegen freut
… Strukturierte Arbeitsabläufe und professionelle Arbeitsinstrumente erleichtern dir den Einstieg.
… Fortwährende Weiterbildungen, die wir unterstützen, sichern dir den langfristigen Erfolg und nächsten Karriereschritt
Für allfällige Fragen steht dir unser Recruiting-Hotline-Team unter der Telefonnummer +41 (0)52 268 98 80 gerne zur Verfügung.
(Für diese Rekrutierung berücksichtigen wir nur Direktbewerbungen)
Ihr Aufgabenbereich
Sind Sie davon überzeugt, dass dem Kunden durch den Einsatz von datenbasierten Methoden ein Mehrwert geboten werden kann? Dann helfen Sie mit, die Sanitas datengetrieben weiterzubringen und eine gute Datenbasis sicherzustellen. In dieser übergreifenden Funktion als Data Manager mit Fokus Business Intelligence, Datenintegrität und Datenqualität stellen Sie nicht nur unternehmensweite Datenstandards sicher, sondern helfen auch dabei, die Daten durch Business Intelligence unseren internen Fachbereichen zugängig zu machen. Zusätzlich stellen Sie die Schnittstelle zu unserer Legal & Compliance Abteilung sicher.
Zu Ihren Hauptaufgaben gehören:
Definition von Standards bezüglich Qualität, Zugriffen, Verfügbarkeit, Dokumentationen, Metadatenmanagement etc. und Sicherstellung der Umsetzung dieser Standards
Dokumentation von unternehmensweiten Data Journeys
Unterstützung des Lead Business Intelligence in der MicroStrategy BI-Suite (Erweiterung und Wartung von Reportings, Business Layer, Data Marts und Dokumentationen, User Management)
Definition von konsolidierten Kennzahlen und Reportings sowie Sicherstellung einer konsequenten Anwendung
Eigenständige Umsetzung von Projekten in den Bereichen Business Intelligence, Data Quality und Integrity
Ihre Qualifikationen
Sie bringen gute Kenntnisse und einige Jahre Erfahrung in der Arbeit mit der MicroStrategy BI-Suite mit. Sie verfügen über gute Kenntnisse in relationalen Datenbanken und besitzen SQL Kenntnisse
Sie haben ausserdem einige Jahre Erfahrung in einer Funktion im Umgang mit Data Governance Themen und bringen Kenntnisse in den Bereichen Requirements Engineering, Business Analyse, Datenmodellierung und Datenqualitätsmanagement mit
Sie sind erprobt in der Projektarbeit, verfügen über eine strukturierte & pragmatische Arbeitsweise und sind vertraut mit interdisziplinärer Zusammenarbeit
Sie verfügen über starke kommunikative Fähigkeiten in Deutsch, bringen einen positiven Teamgeist und eine hohe Einsatzbereitschaft mit einem ausgeprägten Verantwortungsgefühl mit
Sie haben ein abgeschlossenes IT-orientiertes Studium oder bringen gleichwertige, mehrjährige Berufserfahrung mit
Was wir Ihnen bieten
Sanitas gehört mit rund 835'000 Kundinnen und Kunden zu den grössten Krankenversicherungen der Schweiz. Wir sind die Krankenversicherung mit dem digitalen Mindset. Bei uns arbeiten Macherinnen und Macher, Menschen die etwas bewegen. Gemeinsam entwickeln wir Lösungen. Damit unsere Versicherten eine echte Wahl haben. Für sie geben unsere rund 870 Mitarbeitenden an 6 Standorten in der Schweiz ihr Bestes.
Zu unseren fortschrittlichen Arbeitsbedingungen zählen unter anderem:
Jahresarbeitszeitmodell mit 5 bis 7 Wochen Ferien
Offene und kollegiale Unternehmenskultur
Kostenloses Krankenversicherungspaket im Kollektivvertrag
Beiträge an Pensionskasse deutlich über dem gesetzlichen Minimum
Gesundheitsfördernde- und Sozialberatungsangebote
Ergänzende Informationen
Eintrittsdatum ist nach Vereinbarung. Diese Stelle möchten wir ohne Unterstützung von externen Personaldienstleistern besetzen.
19/03/2020
Full time
Ihr Aufgabenbereich
Sind Sie davon überzeugt, dass dem Kunden durch den Einsatz von datenbasierten Methoden ein Mehrwert geboten werden kann? Dann helfen Sie mit, die Sanitas datengetrieben weiterzubringen und eine gute Datenbasis sicherzustellen. In dieser übergreifenden Funktion als Data Manager mit Fokus Business Intelligence, Datenintegrität und Datenqualität stellen Sie nicht nur unternehmensweite Datenstandards sicher, sondern helfen auch dabei, die Daten durch Business Intelligence unseren internen Fachbereichen zugängig zu machen. Zusätzlich stellen Sie die Schnittstelle zu unserer Legal & Compliance Abteilung sicher.
Zu Ihren Hauptaufgaben gehören:
Definition von Standards bezüglich Qualität, Zugriffen, Verfügbarkeit, Dokumentationen, Metadatenmanagement etc. und Sicherstellung der Umsetzung dieser Standards
Dokumentation von unternehmensweiten Data Journeys
Unterstützung des Lead Business Intelligence in der MicroStrategy BI-Suite (Erweiterung und Wartung von Reportings, Business Layer, Data Marts und Dokumentationen, User Management)
Definition von konsolidierten Kennzahlen und Reportings sowie Sicherstellung einer konsequenten Anwendung
Eigenständige Umsetzung von Projekten in den Bereichen Business Intelligence, Data Quality und Integrity
Ihre Qualifikationen
Sie bringen gute Kenntnisse und einige Jahre Erfahrung in der Arbeit mit der MicroStrategy BI-Suite mit. Sie verfügen über gute Kenntnisse in relationalen Datenbanken und besitzen SQL Kenntnisse
Sie haben ausserdem einige Jahre Erfahrung in einer Funktion im Umgang mit Data Governance Themen und bringen Kenntnisse in den Bereichen Requirements Engineering, Business Analyse, Datenmodellierung und Datenqualitätsmanagement mit
Sie sind erprobt in der Projektarbeit, verfügen über eine strukturierte & pragmatische Arbeitsweise und sind vertraut mit interdisziplinärer Zusammenarbeit
Sie verfügen über starke kommunikative Fähigkeiten in Deutsch, bringen einen positiven Teamgeist und eine hohe Einsatzbereitschaft mit einem ausgeprägten Verantwortungsgefühl mit
Sie haben ein abgeschlossenes IT-orientiertes Studium oder bringen gleichwertige, mehrjährige Berufserfahrung mit
Was wir Ihnen bieten
Sanitas gehört mit rund 835'000 Kundinnen und Kunden zu den grössten Krankenversicherungen der Schweiz. Wir sind die Krankenversicherung mit dem digitalen Mindset. Bei uns arbeiten Macherinnen und Macher, Menschen die etwas bewegen. Gemeinsam entwickeln wir Lösungen. Damit unsere Versicherten eine echte Wahl haben. Für sie geben unsere rund 870 Mitarbeitenden an 6 Standorten in der Schweiz ihr Bestes.
Zu unseren fortschrittlichen Arbeitsbedingungen zählen unter anderem:
Jahresarbeitszeitmodell mit 5 bis 7 Wochen Ferien
Offene und kollegiale Unternehmenskultur
Kostenloses Krankenversicherungspaket im Kollektivvertrag
Beiträge an Pensionskasse deutlich über dem gesetzlichen Minimum
Gesundheitsfördernde- und Sozialberatungsangebote
Ergänzende Informationen
Eintrittsdatum ist nach Vereinbarung. Diese Stelle möchten wir ohne Unterstützung von externen Personaldienstleistern besetzen.
As part of the Apple's Machine Learning and AI team, we transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting user data. This is an opportunity to join a new team in Apple AI/ML that is investigating novel visual capabilities of Siri across all Apple product that will transform the way people engage with the world around them! We’re looking for strong engineers to work on ground breaking technology, collaborate with experts across Apple, and deliver new end-to-end experiences that delight customers.Key Qualifications
Excellent knowledge and good practical skills in ML based perception algorithms
Skilled in deep learning for image / video understanding, object detection, semantic segmentation
Able to develop and implement high-quality computer vision algorithms
Strong interpersonal skills; able to work independently as well as in a team
Excellent software design, problem solving and debugging skills
Proficiency in Python and another language (C/C++, Go, Swift, Rust)
Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch…)
DescriptionAs a machine learning engineer you are excited to solve high impact problems using deep learning and large data sets. You will stay up to date with the latest research in detection, segmentation and metric learning and work with a team of highly qualified computer vision and machine learning specialists to develop innovative computer vision/machine learning systems in the area of visual search. You'll be involved in all phases of model development including data analysis, prototyping, testing, deployment. Based in Zurich, we work closely with teams across Apple worldwide. We are looking for passionate Applied ML Engineers to join our Agile development teams. You will have great technical skills, a drive for high quality software and the ability to innovate creative solutions. Communicating clearly and having the flexibility to learn new technologies, while continuously developing your skills will be key to your success. You will fit into our teams, be a hardworking collaborator, comfortable with giving and receiving feedback and able to thrive in a dynamic environment. If this is you, we'd love to hear from you.Education & ExperienceMS or PhD in computer vision, machine learning, computer science or equivalent industry experience.
17/03/2020
Full time
As part of the Apple's Machine Learning and AI team, we transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting user data. This is an opportunity to join a new team in Apple AI/ML that is investigating novel visual capabilities of Siri across all Apple product that will transform the way people engage with the world around them! We’re looking for strong engineers to work on ground breaking technology, collaborate with experts across Apple, and deliver new end-to-end experiences that delight customers.Key Qualifications
Excellent knowledge and good practical skills in ML based perception algorithms
Skilled in deep learning for image / video understanding, object detection, semantic segmentation
Able to develop and implement high-quality computer vision algorithms
Strong interpersonal skills; able to work independently as well as in a team
Excellent software design, problem solving and debugging skills
Proficiency in Python and another language (C/C++, Go, Swift, Rust)
Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch…)
DescriptionAs a machine learning engineer you are excited to solve high impact problems using deep learning and large data sets. You will stay up to date with the latest research in detection, segmentation and metric learning and work with a team of highly qualified computer vision and machine learning specialists to develop innovative computer vision/machine learning systems in the area of visual search. You'll be involved in all phases of model development including data analysis, prototyping, testing, deployment. Based in Zurich, we work closely with teams across Apple worldwide. We are looking for passionate Applied ML Engineers to join our Agile development teams. You will have great technical skills, a drive for high quality software and the ability to innovate creative solutions. Communicating clearly and having the flexibility to learn new technologies, while continuously developing your skills will be key to your success. You will fit into our teams, be a hardworking collaborator, comfortable with giving and receiving feedback and able to thrive in a dynamic environment. If this is you, we'd love to hear from you.Education & ExperienceMS or PhD in computer vision, machine learning, computer science or equivalent industry experience.
