Your role:
Do you want to work on the cutting edge? Do you want to expand your knowledge and abilities? Are you passionate about data? Have you been working in similar positions before? We’re looking for someone like you who can help us: - combine Big Data Engineering and DevOps - collaborate with data scientists, data engineers, DevOps, product owners and business partners to design end-to-end solutions - control and monitor the platform performance and capacity - implement core Big Data platform capabilities - engage in the development of a new platform
Your team:
You’ll be working in close association the Advanced Analytics (Big Data Analytics) team in Zurich/Manno. We offer you a highly motivated and experienced team with in-depth knowledge about Advanced Analytics, building models and algorithms. Our goal is to enable the UBS Business’ for a digital and analytical future! You'll participate in all phases of the development lifecycle and are responsible to design, document and maintain innovative applications. This role include significant responsibilities and development possibilities.
Your expertise:
- Bachelor's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience - at least 2-4 years of experience with integration of Hadoop and 3rd party software products in existing IT ecosystem - at least 2-4 years of experience with container schedulers like YARN and /or Kubernetes - familiar with specific characteristics of the Hortonworks / Cloudera stack - several years of experience with automated deploy tools like Ansible - experience with Spark, Hive (LLAP), Kafka or NiFi is a plus - Experience with IBM DB2 is a plus - Experienced in implementing complex security requirements in the financial industry is a plus - Expert understanding of ETL principles and how to apply them within Hadoop is a plus - good abstraction and conceptual skills are combined with a self-reliant, team-minded, communicative, proactive personality You are: - a passionate Big Data Engineer and interested in new development languages as well as new technologies - proactive, looking for creative and innovative solutions - a flexible, open-minded and cooperative person - interested in working in a fast-paced international environment as part of an international team
20/09/2019
Full time
Your role:
Do you want to work on the cutting edge? Do you want to expand your knowledge and abilities? Are you passionate about data? Have you been working in similar positions before? We’re looking for someone like you who can help us: - combine Big Data Engineering and DevOps - collaborate with data scientists, data engineers, DevOps, product owners and business partners to design end-to-end solutions - control and monitor the platform performance and capacity - implement core Big Data platform capabilities - engage in the development of a new platform
Your team:
You’ll be working in close association the Advanced Analytics (Big Data Analytics) team in Zurich/Manno. We offer you a highly motivated and experienced team with in-depth knowledge about Advanced Analytics, building models and algorithms. Our goal is to enable the UBS Business’ for a digital and analytical future! You'll participate in all phases of the development lifecycle and are responsible to design, document and maintain innovative applications. This role include significant responsibilities and development possibilities.
Your expertise:
- Bachelor's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience - at least 2-4 years of experience with integration of Hadoop and 3rd party software products in existing IT ecosystem - at least 2-4 years of experience with container schedulers like YARN and /or Kubernetes - familiar with specific characteristics of the Hortonworks / Cloudera stack - several years of experience with automated deploy tools like Ansible - experience with Spark, Hive (LLAP), Kafka or NiFi is a plus - Experience with IBM DB2 is a plus - Experienced in implementing complex security requirements in the financial industry is a plus - Expert understanding of ETL principles and how to apply them within Hadoop is a plus - good abstraction and conceptual skills are combined with a self-reliant, team-minded, communicative, proactive personality You are: - a passionate Big Data Engineer and interested in new development languages as well as new technologies - proactive, looking for creative and innovative solutions - a flexible, open-minded and cooperative person - interested in working in a fast-paced international environment as part of an international team
Your role:
Does quantitative modelling excite you? Are you an innovative thinker and interested in risk topics? Do you know how to work well within a team to develop and deliver high quality solutions? Then we are looking for you to: – Develop methodologies for quantitative modelling of the probability of default (PD) and loss-given-default (LGD) for our Lombard portfolio for UBS Group – Use techniques from quantitative risk management, financial mathematics and econometrics to develop and change existing risk models. – Bring innovation to the Risk Methodology Group in the development, refinement and implementation of risk models – Implement prototype models in R, MatLab or SAS, before being embedded into the productive risk infrastructure – Collaborate with risk officers, business managers, Risk IT, Change Operations and other stakeholders supporting the proper implementation and execution of risk models and support regulatory exercises
Your team :
You’ll be working within the PD & LGD Lombard Credit Methodology team in Zürich, Switzerland. Your main responsibilities will be to develop and maintain UBS’s Advanced Internal Rating Based models covering our Lombard business. The framework captures all Lombard businesses world-wide ranging from retail clients to complex structured lending solutions for large UHNW clients. You will be working with key stakeholders within our Global Wealth Management business on both the risk and the business side to deliver state of the art methodologies and support new business initiatives.
Your expertise :
– A Master's degree in an applied quantitative discipline (e.g. Econometrics, Statistics, Financial Engineering, Economics, Finance) – Ideally 1-3 years' of experience in credit risk modelling or other areas of risk methodology and/or model development – Sound knowledge of statistical and econometric methods and their application – Strong IT / programming skills. Previous experience and ability to implement models in a programming language (e.g., R, MatLab) is essential and experience with handling large datasets is a plus – Strong analytical, conceptual and organizational skills with the ability to work under tight deadlines – Interest in placing model development activities within the bigger picture of the organisation – Ability to influence and convince key stakeholders within the model development process
09/09/2019
Full time
Your role:
Does quantitative modelling excite you? Are you an innovative thinker and interested in risk topics? Do you know how to work well within a team to develop and deliver high quality solutions? Then we are looking for you to: – Develop methodologies for quantitative modelling of the probability of default (PD) and loss-given-default (LGD) for our Lombard portfolio for UBS Group – Use techniques from quantitative risk management, financial mathematics and econometrics to develop and change existing risk models. – Bring innovation to the Risk Methodology Group in the development, refinement and implementation of risk models – Implement prototype models in R, MatLab or SAS, before being embedded into the productive risk infrastructure – Collaborate with risk officers, business managers, Risk IT, Change Operations and other stakeholders supporting the proper implementation and execution of risk models and support regulatory exercises
Your team :
You’ll be working within the PD & LGD Lombard Credit Methodology team in Zürich, Switzerland. Your main responsibilities will be to develop and maintain UBS’s Advanced Internal Rating Based models covering our Lombard business. The framework captures all Lombard businesses world-wide ranging from retail clients to complex structured lending solutions for large UHNW clients. You will be working with key stakeholders within our Global Wealth Management business on both the risk and the business side to deliver state of the art methodologies and support new business initiatives.
Your expertise :
– A Master's degree in an applied quantitative discipline (e.g. Econometrics, Statistics, Financial Engineering, Economics, Finance) – Ideally 1-3 years' of experience in credit risk modelling or other areas of risk methodology and/or model development – Sound knowledge of statistical and econometric methods and their application – Strong IT / programming skills. Previous experience and ability to implement models in a programming language (e.g., R, MatLab) is essential and experience with handling large datasets is a plus – Strong analytical, conceptual and organizational skills with the ability to work under tight deadlines – Interest in placing model development activities within the bigger picture of the organisation – Ability to influence and convince key stakeholders within the model development process
Your role:
Your role duties will include development of the UBS AML data analytics program with particular focus on Client Risk Rating and Transaction Monitoring models, and it includes the following tasks: - Bring modeling and data analytics expertise to develop, implement, and execute the Client Risk Rating - Develop and enhance Client Risk Rating methodology and ensure its alignment with UBS Model Governance policies and model life cycle. - Develop and conduct verification of Model Performance and Monitoring Confirmation Concept - Conduct model stress tests, calibration and impact analysis - Implement the ongoing model performance assessment standards for AML transaction monitoring tools - Support the model validation submission when conducted MRMC. - Support Model Owner in keeping the model documentation up-to-date and also assist with remediation plans when issues identified during model validation. - When necessary , conduct detailed anbalysis /testing of all model components (conceptual , theoretical review, qualifying and quantifying all risk dimensions). - Ensure all model artifacts are up to date in model management repository (CPAS). Alert Model Owner and FCP head of validation to plausible model weaknesses.
Your team :
You will be working in the Risk Assessments and Analytics and FCP Model Governance teams within global Financial Crime Prevention function. We work as a gatekeeper in preventing money laundering (AML), terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, develop firm-wide analytics program, carry out data mining exercises, contribute as modeling experts and evaluate money laundering country risks.
Your expertise :
– a university degree (BS, MS or PhD) in quantitative discipline: Mathematics, computer science, physics, engineering or economics/econometrics. – Prior experience in AML domain is a plus – good data analytics skills (e.g. SQL, MS Access, excel etc.) – Experience with advance SQL data analytics functions is a plus – good programming skills (e.g. Visual Basic, Java, C, C++, python, R etc.) – experience with model development and calibration – experience with Machine Learning – good record keeping, report drafting and judgment skills (experience with Latex, R-Rmarkdown, R suave) – Ability to establish, contribute to or enhance existing framework is a plus – fluent English skills (oral & written); Knowledge of other languages and cultures is an advantage – think out-of-the-box and be creative – able to explain technical concepts in simple terms to facilitate collaboration – analyze a problem, take a view and propose solutions – team player with ability to make things happen and stick with an individual task – known for having a strong attention to detail and strong research capability
09/09/2019
Full time
Your role:
Your role duties will include development of the UBS AML data analytics program with particular focus on Client Risk Rating and Transaction Monitoring models, and it includes the following tasks: - Bring modeling and data analytics expertise to develop, implement, and execute the Client Risk Rating - Develop and enhance Client Risk Rating methodology and ensure its alignment with UBS Model Governance policies and model life cycle. - Develop and conduct verification of Model Performance and Monitoring Confirmation Concept - Conduct model stress tests, calibration and impact analysis - Implement the ongoing model performance assessment standards for AML transaction monitoring tools - Support the model validation submission when conducted MRMC. - Support Model Owner in keeping the model documentation up-to-date and also assist with remediation plans when issues identified during model validation. - When necessary , conduct detailed anbalysis /testing of all model components (conceptual , theoretical review, qualifying and quantifying all risk dimensions). - Ensure all model artifacts are up to date in model management repository (CPAS). Alert Model Owner and FCP head of validation to plausible model weaknesses.
Your team :
You will be working in the Risk Assessments and Analytics and FCP Model Governance teams within global Financial Crime Prevention function. We work as a gatekeeper in preventing money laundering (AML), terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, develop firm-wide analytics program, carry out data mining exercises, contribute as modeling experts and evaluate money laundering country risks.
Your expertise :
– a university degree (BS, MS or PhD) in quantitative discipline: Mathematics, computer science, physics, engineering or economics/econometrics. – Prior experience in AML domain is a plus – good data analytics skills (e.g. SQL, MS Access, excel etc.) – Experience with advance SQL data analytics functions is a plus – good programming skills (e.g. Visual Basic, Java, C, C++, python, R etc.) – experience with model development and calibration – experience with Machine Learning – good record keeping, report drafting and judgment skills (experience with Latex, R-Rmarkdown, R suave) – Ability to establish, contribute to or enhance existing framework is a plus – fluent English skills (oral & written); Knowledge of other languages and cultures is an advantage – think out-of-the-box and be creative – able to explain technical concepts in simple terms to facilitate collaboration – analyze a problem, take a view and propose solutions – team player with ability to make things happen and stick with an individual task – known for having a strong attention to detail and strong research capability
Schroders, with headquarters in London, employs over 5000 talented people worldwide, operating in 32 different countries across Europe, the Americas, Asia, the Middle East and Africa, close to the markets in which we invest and close to our clients. Schroders has developed under stable ownership for over 200 years and long-term thinking governs our approach to investing, building client relationships and growing our business. Schroders in Switzerland is a renowned Financial Institution with around 400 employees located in Zurich and Geneva. For our private clients we provide tailor made investment solutions and complementary financial services. On behalf of institutional and retail investors, financial institutions and high net worth clients from around the world, we invest in a broad range of asset classes across equities, fixed income, multi-asset and alternatives. We also specialize in providing high-quality private equity solutions to our clients. Position You will be part of the IT Wealth Management Team and reporting to the Capability Lead Satellite Systems. To strengthen our Satellite Team we are looking for an DevOps Business Analyst Areas of Responsibility Provide Core Banking Application Support within a globally operating Service Centre, covering multiple applications as part of the Wealth Management platform Within a team ensure the smooth operations of the different Core Banking applications including but not limited to a Tax Management System (Cgix), Nostro-, Cash- and Trade Reconciliation System (Corona), Printing system (Inspire) Perform business support using T-SQL on an MS SQL data warehouse and as well being responsible for SQL Server administration Able to trouble shoot and perform root cause analysis, interacting with the different Schroders support teams and work in support projects Ability to configure and implement changes and configuration in the different systems. Configure and maintain the Trade and Position Constraint module in our Banking System T24. Define and implement the necessary monitoring features Perform deployments and set-up test environments Development and Maintenance of Quadient Inspire (Client Reporting Software) Core Requirements BS or MS in Computer Science or related technical field (In lieu of degree, relevant skills or equivalent experience) At least 5+ years of relevant work experience within the Financial Services Industry Knowledge of T-SQL and MS-SQL Server Administration Banking and portfolio management knowhow Fluent in English, German as an advantage Team player, work independently and take responsibility. Problem analysing and solving skills. We offer a challenging, diverse and supportive working environment as well as modern employment conditions in an international, dynamic and entrepreneurial environment. The office is located only 5 minutes from Zurich Hardbrücke station. Please apply online with your complete application. Only direct applications will be considered. Schroder & Co Bank AG Human Resources Pfingstweidstrasse 60, CH-8031 Zürich, Schweiz Tel: +41 (0)44 250 11 11
18/10/2019
Full time
Schroders, with headquarters in London, employs over 5000 talented people worldwide, operating in 32 different countries across Europe, the Americas, Asia, the Middle East and Africa, close to the markets in which we invest and close to our clients. Schroders has developed under stable ownership for over 200 years and long-term thinking governs our approach to investing, building client relationships and growing our business. Schroders in Switzerland is a renowned Financial Institution with around 400 employees located in Zurich and Geneva. For our private clients we provide tailor made investment solutions and complementary financial services. On behalf of institutional and retail investors, financial institutions and high net worth clients from around the world, we invest in a broad range of asset classes across equities, fixed income, multi-asset and alternatives. We also specialize in providing high-quality private equity solutions to our clients. Position You will be part of the IT Wealth Management Team and reporting to the Capability Lead Satellite Systems. To strengthen our Satellite Team we are looking for an DevOps Business Analyst Areas of Responsibility Provide Core Banking Application Support within a globally operating Service Centre, covering multiple applications as part of the Wealth Management platform Within a team ensure the smooth operations of the different Core Banking applications including but not limited to a Tax Management System (Cgix), Nostro-, Cash- and Trade Reconciliation System (Corona), Printing system (Inspire) Perform business support using T-SQL on an MS SQL data warehouse and as well being responsible for SQL Server administration Able to trouble shoot and perform root cause analysis, interacting with the different Schroders support teams and work in support projects Ability to configure and implement changes and configuration in the different systems. Configure and maintain the Trade and Position Constraint module in our Banking System T24. Define and implement the necessary monitoring features Perform deployments and set-up test environments Development and Maintenance of Quadient Inspire (Client Reporting Software) Core Requirements BS or MS in Computer Science or related technical field (In lieu of degree, relevant skills or equivalent experience) At least 5+ years of relevant work experience within the Financial Services Industry Knowledge of T-SQL and MS-SQL Server Administration Banking and portfolio management knowhow Fluent in English, German as an advantage Team player, work independently and take responsibility. Problem analysing and solving skills. We offer a challenging, diverse and supportive working environment as well as modern employment conditions in an international, dynamic and entrepreneurial environment. The office is located only 5 minutes from Zurich Hardbrücke station. Please apply online with your complete application. Only direct applications will be considered. Schroder & Co Bank AG Human Resources Pfingstweidstrasse 60, CH-8031 Zürich, Schweiz Tel: +41 (0)44 250 11 11
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.
Junior Business Intelligence and Automation Analyst (f/m/d)
Your responsibilities
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
Develop RPA bots to increase operational efficiency and quality
Translate analytic insights into concrete, actionable recommendations for business or product improvement
We're offering these benefits
Be a key player in the most ambitious Swiss online food story
Highly motivated, dynamic and international team
Fame and glory for what you will have built
No bulls**t, down to earth, yet high caliber work environment
You're offering these qualifications
Bachelor's degree in Engineering, Statistics, Economics, Computer Science, Mathematics, other quantitative field, or equivalent practical experience in Business Intelligence, Analytics, and/or Software Development
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 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)
Experience extracting and transforming data sets with SQL
Experience in programming and software development (e.g., Python, Java, JavaScript, R)
Knowledge of SAP Order Management and Accounting solutions preferred
Fluency in English and German
Passion for grocery/logistics/e-commerce industries
Sounds like you? Submit your application for MIACAR and be a "Hero of the first hour"! We are looking forward to hearing from you. Contact: MIACAR AG Helen Krähenbühl MIACAR is backed by the Migros group. For more job offerings, please visit: migros-gruppe.jobs
18/10/2019
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.
Junior Business Intelligence and Automation Analyst (f/m/d)
Your responsibilities
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
Develop RPA bots to increase operational efficiency and quality
Translate analytic insights into concrete, actionable recommendations for business or product improvement
We're offering these benefits
Be a key player in the most ambitious Swiss online food story
Highly motivated, dynamic and international team
Fame and glory for what you will have built
No bulls**t, down to earth, yet high caliber work environment
You're offering these qualifications
Bachelor's degree in Engineering, Statistics, Economics, Computer Science, Mathematics, other quantitative field, or equivalent practical experience in Business Intelligence, Analytics, and/or Software Development
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 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)
Experience extracting and transforming data sets with SQL
Experience in programming and software development (e.g., Python, Java, JavaScript, R)
Knowledge of SAP Order Management and Accounting solutions preferred
Fluency in English and German
Passion for grocery/logistics/e-commerce industries
Sounds like you? Submit your application for MIACAR and be a "Hero of the first hour"! We are looking forward to hearing from you. Contact: MIACAR AG Helen Krähenbühl MIACAR is backed by the Migros group. For more job offerings, please visit: migros-gruppe.jobs
A (Global) Data Product Owner (m/f) role has become available at an International organization leader in their field.
(Global) Data Product Owner (m/f) Zurich
Key Responsibilities:
Overall Data Product Management responsibility for the Group acting as the main interface and connection across department involved with Data related projects
Strong involvement on Data Strategy topics for the Group
Ensure projects delivery is meeting the highest quality and standards
Requirements Lead for the data teams
With a strong track record in Data related Product Management and technical data background you have:
Profile:
Experienced and knowledgeable on topics such as Digital Analytics, DWH/DB
Data Science, Machine Learning and Artificial Intelligence a plus
Project Management (entire project life cycle), Business analysis experience a plus
Strong team player and leader with excellent interpersonal skills
Technical education desired (BI, DWH, Data Science etc…)
EU/Swiss work permit
Fluency in English required, other languages are a plus
Apply for the (Global) Data Product Owner (m/f) position if you believe this is your next challenge.
A (Global) Data Product Owner (m/f) role has become available at an International organization leader in their field.
16/10/2019
Full time
A (Global) Data Product Owner (m/f) role has become available at an International organization leader in their field.
(Global) Data Product Owner (m/f) Zurich
Key Responsibilities:
Overall Data Product Management responsibility for the Group acting as the main interface and connection across department involved with Data related projects
Strong involvement on Data Strategy topics for the Group
Ensure projects delivery is meeting the highest quality and standards
Requirements Lead for the data teams
With a strong track record in Data related Product Management and technical data background you have:
Profile:
Experienced and knowledgeable on topics such as Digital Analytics, DWH/DB
Data Science, Machine Learning and Artificial Intelligence a plus
Project Management (entire project life cycle), Business analysis experience a plus
Strong team player and leader with excellent interpersonal skills
Technical education desired (BI, DWH, Data Science etc…)
EU/Swiss work permit
Fluency in English required, other languages are a plus
Apply for the (Global) Data Product Owner (m/f) position if you believe this is your next challenge.
A (Global) Data Product Owner (m/f) role has become available at an International organization leader in their field.
Your job.
You will take on technical leadership of customer projects (establishing the methodical approach, developing use cases with the customer, advising customers on technical questions as well as presenting and explaining results).
You will manage the development of machine learning pipelines or develop these yourself: data preparation, modelling, method selection, validation.
You will evaluate the technical and economic feasibility of machine learning solutions and operationalise concepts from successful prototypes in collaboration with data platform architects.
As an expert, you will also assist with the acquisition of customer projects as part of an interdisciplinary bid team.
Your talent.
You have at least 4 years of professional/research experience in the area of machine learning since graduation. Experience of implementing projects in industry and services is an advantage.
You have very good, broad-based knowledge of machine learning, advanced skills in an application domain (e.g. NLP, CV) and good knowledge of statistics.
You are proficient in an ecosystem suitable for data analysis (Python preferred), have experience in software development and are familiar with the concepts of database systems (relational/NoSQL).
Thanks to your confident manner in your communications with customers, and your strong personal motivation and passion for data science, you will take on responsibility for projects and the future development of our ML/DA competence.
You have a degree from a federal technical institute or university in computer science or mathematics, or a comparable qualification. A PhD in an area related to machine learning is a plus. Excellent German and English language skills are required for this role.
And Zühlke. Develop your talent in a highly qualified environment: Zühlke offers you a wide range of opportunities for knowledge exchange and networking plus the security of a long-standing success story. You can develop your career individually, as we will offer you four weeks of further training per year, training camps and active knowledge sharing among experts. Would you like to find out more? Then read our Success Stories or join the conversation on our Zühlke Blog. Please submit a complete application including CV, cover letter, reference letters, and educational certificates. Provided you are a non-EU/EFTA citizen, we can only accept your application, if a valid Swiss work permit is enclosed.
14/10/2019
Full time
Your job.
You will take on technical leadership of customer projects (establishing the methodical approach, developing use cases with the customer, advising customers on technical questions as well as presenting and explaining results).
You will manage the development of machine learning pipelines or develop these yourself: data preparation, modelling, method selection, validation.
You will evaluate the technical and economic feasibility of machine learning solutions and operationalise concepts from successful prototypes in collaboration with data platform architects.
As an expert, you will also assist with the acquisition of customer projects as part of an interdisciplinary bid team.
Your talent.
You have at least 4 years of professional/research experience in the area of machine learning since graduation. Experience of implementing projects in industry and services is an advantage.
You have very good, broad-based knowledge of machine learning, advanced skills in an application domain (e.g. NLP, CV) and good knowledge of statistics.
You are proficient in an ecosystem suitable for data analysis (Python preferred), have experience in software development and are familiar with the concepts of database systems (relational/NoSQL).
Thanks to your confident manner in your communications with customers, and your strong personal motivation and passion for data science, you will take on responsibility for projects and the future development of our ML/DA competence.
You have a degree from a federal technical institute or university in computer science or mathematics, or a comparable qualification. A PhD in an area related to machine learning is a plus. Excellent German and English language skills are required for this role.
And Zühlke. Develop your talent in a highly qualified environment: Zühlke offers you a wide range of opportunities for knowledge exchange and networking plus the security of a long-standing success story. You can develop your career individually, as we will offer you four weeks of further training per year, training camps and active knowledge sharing among experts. Would you like to find out more? Then read our Success Stories or join the conversation on our Zühlke Blog. Please submit a complete application including CV, cover letter, reference letters, and educational certificates. Provided you are a non-EU/EFTA citizen, we can only accept your application, if a valid Swiss work permit is enclosed.
Data Scientist - Machine Learning, Software Engineering, Transport, Mobility, Zurich One of my leading customers is looking to find a highly skilled and experienced Data Scientist to join a team in Zurich. This business is a data-driven company who analyse people's movement and behaviour in order to allow change makers to make the best commercial opportunities and improve mobility services. With offices based in Zurich, New York and Singapore, they are continuing to expand and grow after receiving strong funding and investment. After speaking with the CTO, the business has asked me to help them find a Data Scientist to join an experienced team. This Data Scientist needs to not only have a strong background in Machine Learning and Software Development but also a good understanding of transport and human mobility. You should have a good underdstanding of transport planning and modelling; and the impact data science and analytics can have on making the best decisions. This really is a fantastic business to work for, offering the chance to work with a talented, dedicated team whilst also providing a strong salary and benefits. If you are interested in this role and would to find out more; please apply and we'll arrange a time to discuss further.
14/10/2019
Full time
Data Scientist - Machine Learning, Software Engineering, Transport, Mobility, Zurich One of my leading customers is looking to find a highly skilled and experienced Data Scientist to join a team in Zurich. This business is a data-driven company who analyse people's movement and behaviour in order to allow change makers to make the best commercial opportunities and improve mobility services. With offices based in Zurich, New York and Singapore, they are continuing to expand and grow after receiving strong funding and investment. After speaking with the CTO, the business has asked me to help them find a Data Scientist to join an experienced team. This Data Scientist needs to not only have a strong background in Machine Learning and Software Development but also a good understanding of transport and human mobility. You should have a good underdstanding of transport planning and modelling; and the impact data science and analytics can have on making the best decisions. This really is a fantastic business to work for, offering the chance to work with a talented, dedicated team whilst also providing a strong salary and benefits. If you are interested in this role and would to find out more; please apply and we'll arrange a time to discuss further.
ABOUT CAPCO
Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry.
We are:
Experts in banking and payments, capital markets and wealth and asset management
Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
Committed to growing our business and hiring the best talent to help us get there
Focus on maintaining our nimble, agile and entrepreneurial culture
KEY RESPONSIBILITIES
Be keen to join the team to develop the Swiss Data Practice capabilities and the broader Global Data Practice to support industry changing topics such as Predictive Analytics, Machine Learning and Artificial Intelligence
Work with large complex data sets to solve difficult, non-routine analysis problems applying advanced analytical methods as needed
Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through use of visual displays of quantitative information
Collaborate with business customers to understand needs, recommend strategy enhancements and deploy predictive analytics across multiple platforms
Develop, consult on, deploy and analyze testing strategies to leverage learnings for future business endeavors
Prepare detailed documentation to transfer knowledge and satisfy governance and regulatory concerns
Present very technical issues to non-technical audiences
Consult on applying quantitative problem solving to business problems using analytics in both mentoring and classroom settings
EXPERIENCE
Bachelor / Master / PhD degree in Machine Learning, CS, Math, Physics, or other quantitative disciplines
Extensive knowledge of data modeling and machine learning techniques (supervised and unsupervised learning, recommender systems, natural language processing, computer vision, etc.)
Extensive experience with programming/analytical tools (Python, R, SAS, Matlab, etc.)
Experience cleaning and processing data (structured, unstructured)
Experience with data visualization tools (Tableau, Spotfire, Qlik, D3, etc.)
Experience with data querying tools (SQL, DB2, Hive, Pig etc.)
Experience articulating business questions, using mathematical techniques to arrive at an answer using available data, and translating technical/analysis results into business recommendations
Excellent communication (written and verbal), presentation, and facilitation skills
Demonstrated leadership and self-direction, willingness to teach others and learn new techniques
Ability to manage multiple goals and deadlines
Fluency English, good German language skills nice to have
Flexibility to travel
WHY JOIN CAPCO
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
We offer:
A work culture focused on innovation and creating lasting value for our clients and employees
Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
A diverse, inclusive, meritocratic culture
If you want more autonomy, better prospects and a more exciting career, send your application ! If you have any questions, please don't hesitate to contact Rahel Meyer (Recruiter) rahel.meyer@capco.com Applications via e-mail will not be taken into consideration
14/10/2019
Full time
ABOUT CAPCO
Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry.
We are:
Experts in banking and payments, capital markets and wealth and asset management
Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
Committed to growing our business and hiring the best talent to help us get there
Focus on maintaining our nimble, agile and entrepreneurial culture
KEY RESPONSIBILITIES
Be keen to join the team to develop the Swiss Data Practice capabilities and the broader Global Data Practice to support industry changing topics such as Predictive Analytics, Machine Learning and Artificial Intelligence
Work with large complex data sets to solve difficult, non-routine analysis problems applying advanced analytical methods as needed
Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations
Make business recommendations with effective presentations of findings at multiple levels of stakeholders through use of visual displays of quantitative information
Collaborate with business customers to understand needs, recommend strategy enhancements and deploy predictive analytics across multiple platforms
Develop, consult on, deploy and analyze testing strategies to leverage learnings for future business endeavors
Prepare detailed documentation to transfer knowledge and satisfy governance and regulatory concerns
Present very technical issues to non-technical audiences
Consult on applying quantitative problem solving to business problems using analytics in both mentoring and classroom settings
EXPERIENCE
Bachelor / Master / PhD degree in Machine Learning, CS, Math, Physics, or other quantitative disciplines
Extensive knowledge of data modeling and machine learning techniques (supervised and unsupervised learning, recommender systems, natural language processing, computer vision, etc.)
Extensive experience with programming/analytical tools (Python, R, SAS, Matlab, etc.)
Experience cleaning and processing data (structured, unstructured)
Experience with data visualization tools (Tableau, Spotfire, Qlik, D3, etc.)
Experience with data querying tools (SQL, DB2, Hive, Pig etc.)
Experience articulating business questions, using mathematical techniques to arrive at an answer using available data, and translating technical/analysis results into business recommendations
Excellent communication (written and verbal), presentation, and facilitation skills
Demonstrated leadership and self-direction, willingness to teach others and learn new techniques
Ability to manage multiple goals and deadlines
Fluency English, good German language skills nice to have
Flexibility to travel
WHY JOIN CAPCO
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
We offer:
A work culture focused on innovation and creating lasting value for our clients and employees
Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
A diverse, inclusive, meritocratic culture
If you want more autonomy, better prospects and a more exciting career, send your application ! If you have any questions, please don't hesitate to contact Rahel Meyer (Recruiter) rahel.meyer@capco.com Applications via e-mail will not be taken into consideration
At Starmind, we believe that the combined knowledge and cognitive capabilities of humans far exceed any existing technology's computing power; thus, we developed AI to empower and enhance rather than replace the human mind.
Our platform helps expedite people's advancement by exploring undocumented human intelligence and enabling real-time access to skills, knowledge, and solutions within corporations, communities, and, since we like to think of the bigger picture: the world.
We are backed by some of the best VC investors in Europe, becoming one of the fastest growing AI companies in Europe; and are rapidly expanding our team with the crème de la crème from Airbnb, Twitter, Salesforce, Zuora and many more.
Do you have what it takes to help us shape the future of AI?
Watch this video to find out how Starmind works!
What You Will Do
You analyse the data generated by our application and generate insights into where and how machine learning algorithms could be applied to improve the user experience.
You identify the most important KPIs to measure the performance of our existing algorithms and set up automatic monitoring and reporting for these metrics.
You advise our developers on how to log data so that the usage and usefulness of all features can be measured.
You work with our DevOps to improve the accessibility and scalability of our logs and databases.
Who You Are
You are fluent in SQL (e.g. MySQL). Experience with ElasticSearch and/or NoSQL databases is a plus.
You can write code for data processing in Python (using data analysis libraries such as pandas).
You have experience with data visualization (for example using matplotlib or Grafana).
You are always curious to try out new tools and libraries for the analysis and visualization of data.
You follow new developments in AI and understand how machine learning algorithms can help to analyse data.
You have a sharp eye for irregularities in a dataset and you will leave no stone unturned when looking for the cause of an anomaly.
You have a good understanding of statistics, in particular regarding hypothesis tests and statistical significance.
You desire to work in a small, agile team environment.
You communicate proactively and work independently.
The Bounty
A dynamic, young company where input is welcomed and acted upon
High level of personal responsibility and independence
A challenging and exciting mission within an innovative and multi-cultural environment
The opportunity to work with some of the smartest and most innovative people in the market
If this sounds like you, let’s solve the riddle and apply (written in English or German) - We’re very excited to meet you.
14/10/2019
Full time
At Starmind, we believe that the combined knowledge and cognitive capabilities of humans far exceed any existing technology's computing power; thus, we developed AI to empower and enhance rather than replace the human mind.
Our platform helps expedite people's advancement by exploring undocumented human intelligence and enabling real-time access to skills, knowledge, and solutions within corporations, communities, and, since we like to think of the bigger picture: the world.
We are backed by some of the best VC investors in Europe, becoming one of the fastest growing AI companies in Europe; and are rapidly expanding our team with the crème de la crème from Airbnb, Twitter, Salesforce, Zuora and many more.
Do you have what it takes to help us shape the future of AI?
Watch this video to find out how Starmind works!
What You Will Do
You analyse the data generated by our application and generate insights into where and how machine learning algorithms could be applied to improve the user experience.
You identify the most important KPIs to measure the performance of our existing algorithms and set up automatic monitoring and reporting for these metrics.
You advise our developers on how to log data so that the usage and usefulness of all features can be measured.
You work with our DevOps to improve the accessibility and scalability of our logs and databases.
Who You Are
You are fluent in SQL (e.g. MySQL). Experience with ElasticSearch and/or NoSQL databases is a plus.
You can write code for data processing in Python (using data analysis libraries such as pandas).
You have experience with data visualization (for example using matplotlib or Grafana).
You are always curious to try out new tools and libraries for the analysis and visualization of data.
You follow new developments in AI and understand how machine learning algorithms can help to analyse data.
You have a sharp eye for irregularities in a dataset and you will leave no stone unturned when looking for the cause of an anomaly.
You have a good understanding of statistics, in particular regarding hypothesis tests and statistical significance.
You desire to work in a small, agile team environment.
You communicate proactively and work independently.
The Bounty
A dynamic, young company where input is welcomed and acted upon
High level of personal responsibility and independence
A challenging and exciting mission within an innovative and multi-cultural environment
The opportunity to work with some of the smartest and most innovative people in the market
If this sounds like you, let’s solve the riddle and apply (written in English or German) - We’re very excited to meet you.
As a data science consultant you will make a substantial contribution to the resolution of complex challenges on behalf of our customers in the area of digital transformation and business innovation. Your job.
You will lead sophisticated consultancy projects in the area of product, services, solution and business model innovation at the interface of market, business and technology.
You view data science as a potential tool for overcoming the challenges of digital transformation and will increase our customers’ understanding of its potential and limitations.
You have a holistic view of data science initiatives and understand how to develop the customers’ understanding of the different levels such as platform, governance, algorithms and application cases.
You will facilitate innovation workshops and develop ideas into a validated portfolio by taking a co-creation approach. Working with our experts you will generate real opportunities and investment possibilities for our customers out of this potential.
As a trusted advisor you will support data science implementation projects in order to bring ideas to life and successfully launch innovations on the market.
You will be an important exponent of data science, actively developing Zühlke’s services, positioning our portfolio on the market (pre-sales), drawing up quotations and helping to develop young talent.
Your talent
You have successfully completed a technical degree at a federal technical college, university or university of applied sciences in computer science or mathematics, or you have a comparable qualification. Ideally you have a PhD in an area related to machine learning or an (E)MBA from a top school.
Extensive professional experience in consulting, product management or R&D is a requirement.
You have in-depth knowledge of the different aspects of data science solutions and a thorough understanding of the possibilities and limitations of machine learning.
Your repertoire of skills also encompasses management experience within the context of projects, programmes or direct team leadership.
You stand out thanks to your ability to learn quickly and your strong problem-solving skills, and you are analytical, customer-oriented, creative and innovative.
With team orientation and strong personal integrity you are an effective coach, active in building trust with customers in the long term.
Maintaining relevant knowledge of current technologies (cloud, mobile, IoT, big data/machine learning/AI, blockchain, AR/VR etc.) and their use in business innovation comes naturally to you.
You have an understanding of business and are flexible with regard to different industries and companies (from start-ups to multinationals).
Persuasive communication skills as well as very good German and English add the finishing touch to your profile.
And Zühlke. Develop your talent in a highly qualified environment: Zühlke offers you a wide range of opportunities for knowledge exchange and networking plus the security of a long-standing success story. You can develop your career individually, as we will offer you four weeks of further training per year, training camps and active knowledge sharing among experts. Would you like to find out more? Then read our Success Stories or join the conversation on our Zühlke Blog. Please submit a complete application including CV, cover letter, reference letters, and educational certificates. Provided you are a non-EU/EFTA citizen, we can only accept your application, if a valid Swiss work permit is enclosed.
09/10/2019
Full time
As a data science consultant you will make a substantial contribution to the resolution of complex challenges on behalf of our customers in the area of digital transformation and business innovation. Your job.
You will lead sophisticated consultancy projects in the area of product, services, solution and business model innovation at the interface of market, business and technology.
You view data science as a potential tool for overcoming the challenges of digital transformation and will increase our customers’ understanding of its potential and limitations.
You have a holistic view of data science initiatives and understand how to develop the customers’ understanding of the different levels such as platform, governance, algorithms and application cases.
You will facilitate innovation workshops and develop ideas into a validated portfolio by taking a co-creation approach. Working with our experts you will generate real opportunities and investment possibilities for our customers out of this potential.
As a trusted advisor you will support data science implementation projects in order to bring ideas to life and successfully launch innovations on the market.
You will be an important exponent of data science, actively developing Zühlke’s services, positioning our portfolio on the market (pre-sales), drawing up quotations and helping to develop young talent.
Your talent
You have successfully completed a technical degree at a federal technical college, university or university of applied sciences in computer science or mathematics, or you have a comparable qualification. Ideally you have a PhD in an area related to machine learning or an (E)MBA from a top school.
Extensive professional experience in consulting, product management or R&D is a requirement.
You have in-depth knowledge of the different aspects of data science solutions and a thorough understanding of the possibilities and limitations of machine learning.
Your repertoire of skills also encompasses management experience within the context of projects, programmes or direct team leadership.
You stand out thanks to your ability to learn quickly and your strong problem-solving skills, and you are analytical, customer-oriented, creative and innovative.
With team orientation and strong personal integrity you are an effective coach, active in building trust with customers in the long term.
Maintaining relevant knowledge of current technologies (cloud, mobile, IoT, big data/machine learning/AI, blockchain, AR/VR etc.) and their use in business innovation comes naturally to you.
You have an understanding of business and are flexible with regard to different industries and companies (from start-ups to multinationals).
Persuasive communication skills as well as very good German and English add the finishing touch to your profile.
And Zühlke. Develop your talent in a highly qualified environment: Zühlke offers you a wide range of opportunities for knowledge exchange and networking plus the security of a long-standing success story. You can develop your career individually, as we will offer you four weeks of further training per year, training camps and active knowledge sharing among experts. Would you like to find out more? Then read our Success Stories or join the conversation on our Zühlke Blog. Please submit a complete application including CV, cover letter, reference letters, and educational certificates. Provided you are a non-EU/EFTA citizen, we can only accept your application, if a valid Swiss work permit is enclosed.
Writing the future. Together.
Avaloq is a value-driven fast-paced fintech company and we are committed to develop the banking technology of tomorrow. Leading banks and wealth managers in all major financial centres rely on our software and services, and this unique community grows every day.
Your team
Application Framework - The Application Framework Team is mainly responsible for the software framework used in the Avaloq Banking Suite (ABS) for the management of static data and technical business process execution. We enhance and maintain the frameworks and tools that enable other teams to create and process their business specific logic. The application framework team works on the central core of the ABS. Our frameworks process several millions of transactions (e.g. payments) each day and maintain all the static data of our customers. Business Data Events is a newly developed framework that registers data changes and publishes them through Kafka to other applications.
Your mission
Build the data highway from the core system to the new microservices hub
Drive and enhance the core frameworks of Avaloq’s current and future products
Understand the architectural big picture, support and consult our stakeholders – customers as well as internal business teams
Constant self-development
What you need
University degree in Computer Science (ETH/University) or equivalent experience
Solid understanding of modern software engineering principles and design patterns
Strong analytical, abstract thinking and problem-solving skills
Basic understanding of relational databases
Strong communication abilities
Proficient English language skills
You will get extra points for the following
Experience in Java/JEE and PL/SQL
Basic understanding of framework development
Understanding of agile methodologies
Now let’s talk about perks and compensation
With our compensation model, we want to share the success of the company with all our employees. We offer competitive base salaries and if you prove yourself as a super-star, you might be entitled to an extraordinary achievement reward.
Place of work
Zurich
Don’t be shy – apply!
Avaloq Evolution AG Alina Tauscher, Talent Acquisition Professional Allmendstrasse 140 - 8027 Zürich - Switzerland www.avaloq.com/en/open-positions Please only apply online. Note to Agencies: All unsolicited résumés will be considered direct applicants and no referral fee will be acknowledged.
09/10/2019
Full time
Writing the future. Together.
Avaloq is a value-driven fast-paced fintech company and we are committed to develop the banking technology of tomorrow. Leading banks and wealth managers in all major financial centres rely on our software and services, and this unique community grows every day.
Your team
Application Framework - The Application Framework Team is mainly responsible for the software framework used in the Avaloq Banking Suite (ABS) for the management of static data and technical business process execution. We enhance and maintain the frameworks and tools that enable other teams to create and process their business specific logic. The application framework team works on the central core of the ABS. Our frameworks process several millions of transactions (e.g. payments) each day and maintain all the static data of our customers. Business Data Events is a newly developed framework that registers data changes and publishes them through Kafka to other applications.
Your mission
Build the data highway from the core system to the new microservices hub
Drive and enhance the core frameworks of Avaloq’s current and future products
Understand the architectural big picture, support and consult our stakeholders – customers as well as internal business teams
Constant self-development
What you need
University degree in Computer Science (ETH/University) or equivalent experience
Solid understanding of modern software engineering principles and design patterns
Strong analytical, abstract thinking and problem-solving skills
Basic understanding of relational databases
Strong communication abilities
Proficient English language skills
You will get extra points for the following
Experience in Java/JEE and PL/SQL
Basic understanding of framework development
Understanding of agile methodologies
Now let’s talk about perks and compensation
With our compensation model, we want to share the success of the company with all our employees. We offer competitive base salaries and if you prove yourself as a super-star, you might be entitled to an extraordinary achievement reward.
Place of work
Zurich
Don’t be shy – apply!
Avaloq Evolution AG Alina Tauscher, Talent Acquisition Professional Allmendstrasse 140 - 8027 Zürich - Switzerland www.avaloq.com/en/open-positions Please only apply online. Note to Agencies: All unsolicited résumés will be considered direct applicants and no referral fee will be acknowledged.
We are currently looking for a Quality Assurance Engineer who has a passion for high-quality products. You will be owning the strategy for ensuring quality at Locatee. You will have complete freedom to use or introduce those tools that you think are necessary to get this job done. WHAT YOU WILL DO
Lead and own quality strategy to ensure a high level of product quality based on system requirements and business needs
Partner with the Product Owner and the teams to successfully deliver platform capabilities
Participate in the implementation and maintenance of the quality systems program
Promote and facilitate continuous quality improvement
Develop and implement measures to monitor effectiveness, metrics and Quality System process improvements
Design and implement automation plans
Develop and execute functional and automated test cases
WHAT YOU BRING
2+ years of engineering (software development) experience, preferably working as a Backend Developer or Quality Assurance Engineer
Experience with TestNG, Mockito, Selenium or similar
Strong attention to detail
Advanced test case and test planning skills
Knowledge and experience working with UNIX systems, scripting and database querying
Hands-on experience working with different browsers, devices, viewports (experience with IoT networks and Big Data is a plus)
Deep understanding of agile development processes and methodology including continuous integration and delivery, with a mindset of building incrementally and delivering business value quickly
Experience with on-premise to cloud migrations is a plus
Previous work experience in a startup environment is a plus
Experience as a Scrum Master is a plus
WHY YOU SHOULD WORK WITH US
Be part of a dynamic, fast-paced and internationally growing startup
Work on cutting-edge big data analytics technology for the largest organisations worldwide
A real scale-up adventure with great rewards: we offer Phantom Stock Options to be part of Locatee’s success
Open and supportive culture on a flat organizational structure. Make your efforts and engagement count!
A lot of independence and responsibility
An inspiring and modern working environment in Zurich
The ability to choose your own work devices
The chance to work in a young, energetic and talented team that cares for each other: we live diversity and speak 14 different languages (English being our company language)
Optimise your work-life balance and work one week per year from wherever you want
Weekly team events, after-work beers and much more, we never miss out on fun!
Fresh fruits basket, homemade cakes, free tea, coffee & snacks
WHO WE ARE We are a Zurich-based start-up that supports large companies in optimizing their office buildings. Our Smart Building platform "Locatee " provides real-time data that makes office buildings intelligent and user-oriented. Thanks to Locatee, large organisations worldwide are able to intelligently optimize their office buildings and shape the way how people interact with their workspace. Our motto is to create a work environment where people want to work, not need to. This is not only our working culture but also what we want our customers to reach thanks to Locatee. Our fantastic diverse team consists of 30+ people with strong background in Product, Computer & Data science, Business Development, Marketing and Human Resources.
09/10/2019
Full time
We are currently looking for a Quality Assurance Engineer who has a passion for high-quality products. You will be owning the strategy for ensuring quality at Locatee. You will have complete freedom to use or introduce those tools that you think are necessary to get this job done. WHAT YOU WILL DO
Lead and own quality strategy to ensure a high level of product quality based on system requirements and business needs
Partner with the Product Owner and the teams to successfully deliver platform capabilities
Participate in the implementation and maintenance of the quality systems program
Promote and facilitate continuous quality improvement
Develop and implement measures to monitor effectiveness, metrics and Quality System process improvements
Design and implement automation plans
Develop and execute functional and automated test cases
WHAT YOU BRING
2+ years of engineering (software development) experience, preferably working as a Backend Developer or Quality Assurance Engineer
Experience with TestNG, Mockito, Selenium or similar
Strong attention to detail
Advanced test case and test planning skills
Knowledge and experience working with UNIX systems, scripting and database querying
Hands-on experience working with different browsers, devices, viewports (experience with IoT networks and Big Data is a plus)
Deep understanding of agile development processes and methodology including continuous integration and delivery, with a mindset of building incrementally and delivering business value quickly
Experience with on-premise to cloud migrations is a plus
Previous work experience in a startup environment is a plus
Experience as a Scrum Master is a plus
WHY YOU SHOULD WORK WITH US
Be part of a dynamic, fast-paced and internationally growing startup
Work on cutting-edge big data analytics technology for the largest organisations worldwide
A real scale-up adventure with great rewards: we offer Phantom Stock Options to be part of Locatee’s success
Open and supportive culture on a flat organizational structure. Make your efforts and engagement count!
A lot of independence and responsibility
An inspiring and modern working environment in Zurich
The ability to choose your own work devices
The chance to work in a young, energetic and talented team that cares for each other: we live diversity and speak 14 different languages (English being our company language)
Optimise your work-life balance and work one week per year from wherever you want
Weekly team events, after-work beers and much more, we never miss out on fun!
Fresh fruits basket, homemade cakes, free tea, coffee & snacks
WHO WE ARE We are a Zurich-based start-up that supports large companies in optimizing their office buildings. Our Smart Building platform "Locatee " provides real-time data that makes office buildings intelligent and user-oriented. Thanks to Locatee, large organisations worldwide are able to intelligently optimize their office buildings and shape the way how people interact with their workspace. Our motto is to create a work environment where people want to work, not need to. This is not only our working culture but also what we want our customers to reach thanks to Locatee. Our fantastic diverse team consists of 30+ people with strong background in Product, Computer & Data science, Business Development, Marketing and Human Resources.
Currently we are looking for a Big Data Engineer with Kafka knowledge for our Zurich office to make the team even stronger. Do you want to work on the cutting edge? Do you want to expand your knowledge and abilities? Are you passionate about data? Have you been working in similar positions before? We’re looking for someone like you who can help us:
Engineer and integrate the platform from a technology point of view;
Engineer core Big Data platform capabilities.
YOU ARE
A passionate Big Data Engineer looking for new challenges;
Proactive, looking for creative and innovative solutions;
A flexible, open-minded and cooperative person;
Interested in working in a fast-paced international environment as part of an international team.
YOUR TEAM
You’ll be working in close association the Advanced Analytics (Big Data Analytics) team in Zurich. We offer you a highly motivated and experienced team with in-depth knowledge about Advanced Analytics, building models and algorithms. Our goal is to enable the Business’ for a digital and analytical future! You’ll operate and maintain the whole platform end to end and work closely with the development teams. This role includes significant responsibilities and development possibilities.
Requirements
Bachelor's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience
At least 3 years of experience in designing and operating Kafka Clusters (Confluent and Apache Kafka) on-premise
At least 5 years of experience in design, sizing, implementation and maintaining Hortonworks based Hadoop Clusters
At least 3 years of experience in securing and protection of Hadoop clusters (Ranger, Atlas, Kerberos, Knox, SSL)
At least 5 years of experience in designing Big Data architectures
At least 5 years of demonstrated experience in gathering and understanding customer business requirements to introduce Big Data technologies
At least 5 Years of Experience in configuring the tools from the Hadoop ecosystem, like Hadoop, Hive, Spark, Kafka, Solr, Nifi
Experience with IBM Watson Studio Local integration
Experience with IBM DB2 is a plus
Experience with IBM Power Systems is a plus
Experienced in implementing complex security requirements in the financial industry
Good abstraction and conceptual skills combined with a self-reliant, team-minded, communicative, proactive personality
We offer
Experience exchange with colleagues all around the world
Competitive compensation depending on experience and skills
Regular assessments and salary reviews
Develop integration modules for interacting with new systems and applications
Opportunities for self-realization
Friendly team and enjoyable working environment
Corporate and social events
Please note that any offers will be subject to appropriate background checks
We do not accept CV from recruiting or staffing agencies
Due to the swiss labour legislation we can only accept EU candidates and applicants who have open work permit for Switzerland
09/10/2019
Full time
Currently we are looking for a Big Data Engineer with Kafka knowledge for our Zurich office to make the team even stronger. Do you want to work on the cutting edge? Do you want to expand your knowledge and abilities? Are you passionate about data? Have you been working in similar positions before? We’re looking for someone like you who can help us:
Engineer and integrate the platform from a technology point of view;
Engineer core Big Data platform capabilities.
YOU ARE
A passionate Big Data Engineer looking for new challenges;
Proactive, looking for creative and innovative solutions;
A flexible, open-minded and cooperative person;
Interested in working in a fast-paced international environment as part of an international team.
YOUR TEAM
You’ll be working in close association the Advanced Analytics (Big Data Analytics) team in Zurich. We offer you a highly motivated and experienced team with in-depth knowledge about Advanced Analytics, building models and algorithms. Our goal is to enable the Business’ for a digital and analytical future! You’ll operate and maintain the whole platform end to end and work closely with the development teams. This role includes significant responsibilities and development possibilities.
Requirements
Bachelor's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience
At least 3 years of experience in designing and operating Kafka Clusters (Confluent and Apache Kafka) on-premise
At least 5 years of experience in design, sizing, implementation and maintaining Hortonworks based Hadoop Clusters
At least 3 years of experience in securing and protection of Hadoop clusters (Ranger, Atlas, Kerberos, Knox, SSL)
At least 5 years of experience in designing Big Data architectures
At least 5 years of demonstrated experience in gathering and understanding customer business requirements to introduce Big Data technologies
At least 5 Years of Experience in configuring the tools from the Hadoop ecosystem, like Hadoop, Hive, Spark, Kafka, Solr, Nifi
Experience with IBM Watson Studio Local integration
Experience with IBM DB2 is a plus
Experience with IBM Power Systems is a plus
Experienced in implementing complex security requirements in the financial industry
Good abstraction and conceptual skills combined with a self-reliant, team-minded, communicative, proactive personality
We offer
Experience exchange with colleagues all around the world
Competitive compensation depending on experience and skills
Regular assessments and salary reviews
Develop integration modules for interacting with new systems and applications
Opportunities for self-realization
Friendly team and enjoyable working environment
Corporate and social events
Please note that any offers will be subject to appropriate background checks
We do not accept CV from recruiting or staffing agencies
Due to the swiss labour legislation we can only accept EU candidates and applicants who have open work permit for Switzerland
Here at Swarovski, our people sparkle just as much as our products. Come and join us as a Senior data Scientist where you will get a chance to work in a growing team in the Zurich area and develop your skills in use cases at global scale. Be part of a truly iconic global brand, learn and grow with us.
ABOUT THE JOB
Drive the development and implementation of Advanced Analytics use cases for the Consumer Goods Business
Partner with relevant departments (e.g. e-Commerce, Omnichannel Management, CRM, Marketing Management) to understand and frame the problem, estimate the business impact, develop the solution & monitor it
Identify internal and external data for the question at hand and work with BI/IT to assure data provisioning
Develop model prototypes both using latest AI and machine learning techniques like Gradient Boost, Neural Networks or Random Forests as well as classic methods. Test and continuously improve model along AA best in class standards
Provide output to target systems like marketing automation or dashboards and assures automation and monitoring of use cases, in alignment with relevant departments
Assure reporting of Use Case KPIs and feed them into functional dashboards
Monitor the execution of statistical models & performance in use cases and identify improvement / extension opportunities
ABOUT YOU
We are looking for a motivated talent, who brings along the following background:
University degree/ Education, preferably in in Mathematics, Statistics, Computer Science, Physics or similar
More than 5-8 years of experience in advanced analytics field
Proven track record of creating impact in at least 2 of the following fields (Personalization of e-Mails, Websites & Advertising, Assortment Optimization, Dynamic Pricing & Promotions, Marketing Mix Optimization, Store level forecasting, Social Media/Network analysis)
Strong technical experience in the following areas:
R and/or Python (min. 5 years), modelling & real time analytics (process parallelization), familiarity to SAS a plus
Familiarity with one of the following AI verticals: text mining, image recognition, conversational interface, automatic classification, network analytics, predictive modeling - incl deep learning framework (PyTorch, Keras, Tensorflow, etc.) a plus
Database management (SQL & NoSQL, Spark a plus)
Robust knowledge on Data management & IT infrastructure management,
Proven ability to structure, build & optimize complex data science pipelines,
Big data cloud providers (e.g. AWS, Google Cloud, Azure)
Tableau skills a plus
Substantial prior experience in modelling large scale retail data sets, digital & tracking data & data enrichment (data scraping/crawling a plus)
Ability to work in cross-functional teams & agile ways of working
Excellent English proficiency
ABOUT SWAROVSKI
Swarovski is a family-run company, founded more than 120 years ago in Wattens, Austria. We are leading group of global companies committed to stable growth and maintaining our place at the forefront of design, creativity, and technological innovation.
Working for Swarovski is more than just a job. You will work for a groundbreaking, modern, premium brand, which is globally known for its quality and creativity. We place people at the heart of our business and offer global pay programs, supported by a range of local benefits. In addition, we provide rich development opportunities which recognize and reward the brilliant contributions of our passionate individuals and teams who contribute to the success of our company – sparkling every day.
Whether you are just starting your career or celebrating an existing one, we invite you to make your own mark on Swarovski’s rich history. Grow your own career through our blended learning and development programs. Learning opportunities are everywhere at Swarovski and will help you grow and develop your own career.
We are an equal opportunity employer and value diversity at our company.
09/10/2019
Full time
Here at Swarovski, our people sparkle just as much as our products. Come and join us as a Senior data Scientist where you will get a chance to work in a growing team in the Zurich area and develop your skills in use cases at global scale. Be part of a truly iconic global brand, learn and grow with us.
ABOUT THE JOB
Drive the development and implementation of Advanced Analytics use cases for the Consumer Goods Business
Partner with relevant departments (e.g. e-Commerce, Omnichannel Management, CRM, Marketing Management) to understand and frame the problem, estimate the business impact, develop the solution & monitor it
Identify internal and external data for the question at hand and work with BI/IT to assure data provisioning
Develop model prototypes both using latest AI and machine learning techniques like Gradient Boost, Neural Networks or Random Forests as well as classic methods. Test and continuously improve model along AA best in class standards
Provide output to target systems like marketing automation or dashboards and assures automation and monitoring of use cases, in alignment with relevant departments
Assure reporting of Use Case KPIs and feed them into functional dashboards
Monitor the execution of statistical models & performance in use cases and identify improvement / extension opportunities
ABOUT YOU
We are looking for a motivated talent, who brings along the following background:
University degree/ Education, preferably in in Mathematics, Statistics, Computer Science, Physics or similar
More than 5-8 years of experience in advanced analytics field
Proven track record of creating impact in at least 2 of the following fields (Personalization of e-Mails, Websites & Advertising, Assortment Optimization, Dynamic Pricing & Promotions, Marketing Mix Optimization, Store level forecasting, Social Media/Network analysis)
Strong technical experience in the following areas:
R and/or Python (min. 5 years), modelling & real time analytics (process parallelization), familiarity to SAS a plus
Familiarity with one of the following AI verticals: text mining, image recognition, conversational interface, automatic classification, network analytics, predictive modeling - incl deep learning framework (PyTorch, Keras, Tensorflow, etc.) a plus
Database management (SQL & NoSQL, Spark a plus)
Robust knowledge on Data management & IT infrastructure management,
Proven ability to structure, build & optimize complex data science pipelines,
Big data cloud providers (e.g. AWS, Google Cloud, Azure)
Tableau skills a plus
Substantial prior experience in modelling large scale retail data sets, digital & tracking data & data enrichment (data scraping/crawling a plus)
Ability to work in cross-functional teams & agile ways of working
Excellent English proficiency
ABOUT SWAROVSKI
Swarovski is a family-run company, founded more than 120 years ago in Wattens, Austria. We are leading group of global companies committed to stable growth and maintaining our place at the forefront of design, creativity, and technological innovation.
Working for Swarovski is more than just a job. You will work for a groundbreaking, modern, premium brand, which is globally known for its quality and creativity. We place people at the heart of our business and offer global pay programs, supported by a range of local benefits. In addition, we provide rich development opportunities which recognize and reward the brilliant contributions of our passionate individuals and teams who contribute to the success of our company – sparkling every day.
Whether you are just starting your career or celebrating an existing one, we invite you to make your own mark on Swarovski’s rich history. Grow your own career through our blended learning and development programs. Learning opportunities are everywhere at Swarovski and will help you grow and develop your own career.
We are an equal opportunity employer and value diversity at our company.
Schroders, with headquarters in London, employs over 5000 talented people worldwide, operating in 32 different countries across Europe, the Americas, Asia, the Middle East and Africa, close to the markets in which we invest and close to our clients. Schroders has developed under stable ownership for over 200 years and long-term thinking governs our approach to investing, building client relationships and growing our business. Schroders in Switzerland is a renowned Financial Institution with around 400 employees located in Zurich and Geneva. For our private clients we provide tailor made investment solutions and complementary financial services. On behalf of institutional and retail investors, financial institutions and high net worth clients from around the world, we invest in a broad range of asset classes across equities, fixed income, multi-asset and alternatives. We also specialize in providing high-quality private equity solutions to our clients. Founded in 1997, Schroder Adveq is a leading asset manager investing in private equity globally and is offering specialized investment solutions that enable our clients to access select private market segments through primary, secondary, and direct/co-investments. To strengthen our Data Quality Management team in Zurich, we are looking for a Data Quality Analyst (100%) The Data Quality Analyst is involved in the definition and implementation of our data quality framework, including governance, controls, procedures and reports. The Data Quality Analyst supports data quality assurance across all Schroder Adveq departments, in particular Investment Management and Fund Operations & Services and furthermore identifies data quality gaps and resolves them in cooperation with the respective departments. Areas of Responsibility: Assist in the definition of a data governance framework that aligns with business processes and clear data ownership and support its implementation Set data quality objectives in cooperation with the business departments Implement data quality controls in cooperation with PE Technology Define and coordinate measures to remediate identified data quality issues together with the respective business department and run data quality reports Establish processes to prevent data quality issues going forward Train business department members on data quality Establish and maintain a data dictionary and data flow diagram Review changes in business processes and IT systems and confirm compliance with data quality principles Required profile: Degree in a relevant discipline such as computer science, economics, statistics or related field, or 3+ years of experience in a relevant role At least 1 to 3 years proven data quality management experience Familiarity with the tools and methodologies needed for data quality management Strong analytical skills, experience with SQL and relational databases are a big plus Experience in working with colleagues and stakeholders globally is a plus Excellent command of the English language, German is an advantage We offer a challenging, diverse and supportive working environment as well as modern employment conditions in an international, dynamic and entrepreneurial company. The office is located only 5 minutes from Zurich-Oerlikon station. Please apply online, with your complete application. Only direct applications will be considered. Schroder Adveq Management AG Human Resources Affolternstrasse 56 8050 Zurich - Switzerland
09/10/2019
Full time
Schroders, with headquarters in London, employs over 5000 talented people worldwide, operating in 32 different countries across Europe, the Americas, Asia, the Middle East and Africa, close to the markets in which we invest and close to our clients. Schroders has developed under stable ownership for over 200 years and long-term thinking governs our approach to investing, building client relationships and growing our business. Schroders in Switzerland is a renowned Financial Institution with around 400 employees located in Zurich and Geneva. For our private clients we provide tailor made investment solutions and complementary financial services. On behalf of institutional and retail investors, financial institutions and high net worth clients from around the world, we invest in a broad range of asset classes across equities, fixed income, multi-asset and alternatives. We also specialize in providing high-quality private equity solutions to our clients. Founded in 1997, Schroder Adveq is a leading asset manager investing in private equity globally and is offering specialized investment solutions that enable our clients to access select private market segments through primary, secondary, and direct/co-investments. To strengthen our Data Quality Management team in Zurich, we are looking for a Data Quality Analyst (100%) The Data Quality Analyst is involved in the definition and implementation of our data quality framework, including governance, controls, procedures and reports. The Data Quality Analyst supports data quality assurance across all Schroder Adveq departments, in particular Investment Management and Fund Operations & Services and furthermore identifies data quality gaps and resolves them in cooperation with the respective departments. Areas of Responsibility: Assist in the definition of a data governance framework that aligns with business processes and clear data ownership and support its implementation Set data quality objectives in cooperation with the business departments Implement data quality controls in cooperation with PE Technology Define and coordinate measures to remediate identified data quality issues together with the respective business department and run data quality reports Establish processes to prevent data quality issues going forward Train business department members on data quality Establish and maintain a data dictionary and data flow diagram Review changes in business processes and IT systems and confirm compliance with data quality principles Required profile: Degree in a relevant discipline such as computer science, economics, statistics or related field, or 3+ years of experience in a relevant role At least 1 to 3 years proven data quality management experience Familiarity with the tools and methodologies needed for data quality management Strong analytical skills, experience with SQL and relational databases are a big plus Experience in working with colleagues and stakeholders globally is a plus Excellent command of the English language, German is an advantage We offer a challenging, diverse and supportive working environment as well as modern employment conditions in an international, dynamic and entrepreneurial company. The office is located only 5 minutes from Zurich-Oerlikon station. Please apply online, with your complete application. Only direct applications will be considered. Schroder Adveq Management AG Human Resources Affolternstrasse 56 8050 Zurich - Switzerland
Project Manager
Serve as the primary liaison with key client representatives with the goal of owning the service delivery relationship;
Drive overall client satisfaction through effective coordination and communication of client deliverables;
Work with clients to establish best practices which meet their needs and addresses any prioritization issues that may arise;
Ensures client and project requirements are being met with the highest quality and accuracy through verification and communicating routinely with both the client and internal partners;
Provides substantive oversight to client-specific projects on a day-to-day basis;
Instills confidence with the client and serves as a primary public face of Epiq’s high-quality service delivery offering;
Operations
Utilise proprietary software applications, 3rd party eDiscovery applications, electronic discovery and data recovery processes.
Load, Process and Search client data in many different file formats using Nuix, Relativity and proprietary tools.
Work closely with team members to troubleshoot data issues (prior to escalation to operations senior management and/or IT/Development), research software and/or techniques to solve problems, and carry out complex data analysis tasks.
Communicate and collaborate with other company departments.
Generate reports from various database platforms for senior management.
Generating written status reports to managers and project managers.
Work at all times within strictly-defined, bespoke eDiscovery workflow, procedures and practices.
Required Qualifications & Characteristics
A solid understanding of eDiscovery and the litigation support industry which is typically a result of at least 4 years of experience in project management and operations positions with law firms, corporate legal departments or eDiscovery service providers.
Strong experience in eDiscovery applications, especially NUIX and Relativity is essential.
Demonstrated success in the management of multiple simultaneous projects.
Demonstrated ability to be flexible to changing work priorities.
Oral and written communication skills which provide a strong and confident leadership presence.
Excellent client relationship skills which include the ability to proactively manage client expectations, recognize client needs and adapt company capabilities to consistently meet client requirements.
Note that this role is based in Zurich, Switzerland, but you must be willing to travel to other Epiq locations or client sites to work for short periods.
We are seeking a superior candidate for this unique role. As a result, we require the following background in candidates selected for this opportunity:
A bachelor’s degree. A graduate degree such as a Juris Doctorate (JD) degree or Masters of Business Administration (MBA) a plus.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.
07/10/2019
Full time
Project Manager
Serve as the primary liaison with key client representatives with the goal of owning the service delivery relationship;
Drive overall client satisfaction through effective coordination and communication of client deliverables;
Work with clients to establish best practices which meet their needs and addresses any prioritization issues that may arise;
Ensures client and project requirements are being met with the highest quality and accuracy through verification and communicating routinely with both the client and internal partners;
Provides substantive oversight to client-specific projects on a day-to-day basis;
Instills confidence with the client and serves as a primary public face of Epiq’s high-quality service delivery offering;
Operations
Utilise proprietary software applications, 3rd party eDiscovery applications, electronic discovery and data recovery processes.
Load, Process and Search client data in many different file formats using Nuix, Relativity and proprietary tools.
Work closely with team members to troubleshoot data issues (prior to escalation to operations senior management and/or IT/Development), research software and/or techniques to solve problems, and carry out complex data analysis tasks.
Communicate and collaborate with other company departments.
Generate reports from various database platforms for senior management.
Generating written status reports to managers and project managers.
Work at all times within strictly-defined, bespoke eDiscovery workflow, procedures and practices.
Required Qualifications & Characteristics
A solid understanding of eDiscovery and the litigation support industry which is typically a result of at least 4 years of experience in project management and operations positions with law firms, corporate legal departments or eDiscovery service providers.
Strong experience in eDiscovery applications, especially NUIX and Relativity is essential.
Demonstrated success in the management of multiple simultaneous projects.
Demonstrated ability to be flexible to changing work priorities.
Oral and written communication skills which provide a strong and confident leadership presence.
Excellent client relationship skills which include the ability to proactively manage client expectations, recognize client needs and adapt company capabilities to consistently meet client requirements.
Note that this role is based in Zurich, Switzerland, but you must be willing to travel to other Epiq locations or client sites to work for short periods.
We are seeking a superior candidate for this unique role. As a result, we require the following background in candidates selected for this opportunity:
A bachelor’s degree. A graduate degree such as a Juris Doctorate (JD) degree or Masters of Business Administration (MBA) a plus.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.
Product Manager/Analyst Programmatic & Data (m/w)
Wir suchen ab sofort einen Data Analyst (m/w) für anspruchsvolle und spannende Tätigkeiten in Digital Media Investment an unserem Standort in Zürich. Du bist ein begeisterter Internetnutzer und mochtest mehr über die Online-Advertising-Branche erfahren? Du mochtest erste praktische Erfahrungen in Data Science und Datenanalysen sammeln? Du hast Spass an der Arbeit im Team und bist eine kommunikationsfreudige Person? Dann komm zu GroupM Connect - die weltweit führende Agentur für Online-Advertising! Zu unseren Kunden zahlen bekannte Player wie Coca-Cola, Audi, Richemont und viele weitere.
Deine Aufgaben:
Entwicklung von Marketing Reports
Zusammenführung von Daten aus diversen Datenquellen
Unterstützung in den Bereichen Daten-Analyse sowie Daten-Modellierung
Unterstützung im Data Management (SQL, Excel) und Daten Analysen
Mitarbeit in der Integration und Entwicklung von Benchmark Reports
Mitwirkung in der Weiterentwicklung neuer Module/Optimierungsmassnahmen
Mitarbeit bei der Angebotserstellung für Services
Erstellung von Statistiken und Reportings für Publisher und Agenturen
Erstellung und Automatisierung von PowerPoint-Präsentationen
Unterstützung bei der allgemeinen Administration
Was wir von dir erwarten:
Studium der Informatik, Wirtschaftsinformatik oder ähnlicher Studiengang von Vorteil
Hohe Internetaffinität, sowie hohe Zahlenaffinität und technisches Verständnis
Programmierkenntnisse in SQL und Python von Vorteil
Kenntnisse in Data Management von Vorteil
Ausgeprägte analytische und konzeptionelle Fähigkeiten
Ein kommunikatives Wesen und Teamfähigkeit
Einen hohen Grad an Initiative und die Fähigkeit, selbstständig zu arbeiten
Gute Kenntnisse in MS-Office, insbesondere in Excel und PowerPoint
Sehr gute Sprachkenntnisse in Deutsch und Englisch
Kenntnisse in Tableau, PowerBI, Datarama von Vorteil
Was du von uns erwarten kannst:
eine interessante, anspruchsvolle und abwechslungsreiche Tätigkeit in der international führenden Media Investment Holding
Spannende und herausfordernde Aufgaben in einem zukunftsgerichteten digitalen Umfeld
Sehr gute und professionelle Einarbeitung in unsere Prozesse
Flache Hierarchien, hohe Dynamik und schnelle Entscheidungen um deine praktischen Fähigkeiten voll einzubringen und ständig zu erweitern
Können wir dich für uns begeistern? Dann sende bewerbe dich noch heute unter Angabe deiner Salärvorstellung und deines frühestens Eintrittstermines.
Due to local migration law only applications from Swiss or European Union passpord holders or of holders of a valid Swiss working permit can be considered for this position.
07/10/2019
Full time
Product Manager/Analyst Programmatic & Data (m/w)
Wir suchen ab sofort einen Data Analyst (m/w) für anspruchsvolle und spannende Tätigkeiten in Digital Media Investment an unserem Standort in Zürich. Du bist ein begeisterter Internetnutzer und mochtest mehr über die Online-Advertising-Branche erfahren? Du mochtest erste praktische Erfahrungen in Data Science und Datenanalysen sammeln? Du hast Spass an der Arbeit im Team und bist eine kommunikationsfreudige Person? Dann komm zu GroupM Connect - die weltweit führende Agentur für Online-Advertising! Zu unseren Kunden zahlen bekannte Player wie Coca-Cola, Audi, Richemont und viele weitere.
Deine Aufgaben:
Entwicklung von Marketing Reports
Zusammenführung von Daten aus diversen Datenquellen
Unterstützung in den Bereichen Daten-Analyse sowie Daten-Modellierung
Unterstützung im Data Management (SQL, Excel) und Daten Analysen
Mitarbeit in der Integration und Entwicklung von Benchmark Reports
Mitwirkung in der Weiterentwicklung neuer Module/Optimierungsmassnahmen
Mitarbeit bei der Angebotserstellung für Services
Erstellung von Statistiken und Reportings für Publisher und Agenturen
Erstellung und Automatisierung von PowerPoint-Präsentationen
Unterstützung bei der allgemeinen Administration
Was wir von dir erwarten:
Studium der Informatik, Wirtschaftsinformatik oder ähnlicher Studiengang von Vorteil
Hohe Internetaffinität, sowie hohe Zahlenaffinität und technisches Verständnis
Programmierkenntnisse in SQL und Python von Vorteil
Kenntnisse in Data Management von Vorteil
Ausgeprägte analytische und konzeptionelle Fähigkeiten
Ein kommunikatives Wesen und Teamfähigkeit
Einen hohen Grad an Initiative und die Fähigkeit, selbstständig zu arbeiten
Gute Kenntnisse in MS-Office, insbesondere in Excel und PowerPoint
Sehr gute Sprachkenntnisse in Deutsch und Englisch
Kenntnisse in Tableau, PowerBI, Datarama von Vorteil
Was du von uns erwarten kannst:
eine interessante, anspruchsvolle und abwechslungsreiche Tätigkeit in der international führenden Media Investment Holding
Spannende und herausfordernde Aufgaben in einem zukunftsgerichteten digitalen Umfeld
Sehr gute und professionelle Einarbeitung in unsere Prozesse
Flache Hierarchien, hohe Dynamik und schnelle Entscheidungen um deine praktischen Fähigkeiten voll einzubringen und ständig zu erweitern
Können wir dich für uns begeistern? Dann sende bewerbe dich noch heute unter Angabe deiner Salärvorstellung und deines frühestens Eintrittstermines.
Due to local migration law only applications from Swiss or European Union passpord holders or of holders of a valid Swiss working permit can be considered for this position.
This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.
Portfolio Management Analyst:
As part of AXIS Re’s ambition to provide the most modern and sophisticated approach to underwriting, we have established a Product Center within the Reinsurance Products team. Within the Product Center we have created a new role, a Portfolio Management Analyst, who will report to the Head of Portfolio Management. The main responsibilities of this role include:
Analysis:
Analyze and monitor assumed portfolios and collaboratively develop respective KPIs
Contribute to regular portfolio reviews on selected segments, classes or regions
Provide quantitative analysis of a portfolio, segment, contract, client or broker
Monitor cat and selected non-cat risk accumulations and visualize findings.
Support retrocession placements, prepare underwriting exhibits, develop data packs, etc.
Planning and Reporting:
Contribute to the overall underwriting planning process and coordinate with stakeholders as needed. Work closely with BUs and management to develop uwr plans and outlooks
Prepare and consolidate planning exhibits and ensure accurate reporting in a timely manner
Contribute to a continuous improvement of best practice.
Competencies:
Strong knowledge of reinsurance underwriting and reinsurance industry
Ability to work effectively with various levels throughout the organization.
Excellent organizational and analytical skills
Good oral and written communication skills
Attention to detail and ability to analyze, verify, and offer potential solutions
Ability to coordinate, communicate, and facilitate
07/10/2019
Full time
This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.
Portfolio Management Analyst:
As part of AXIS Re’s ambition to provide the most modern and sophisticated approach to underwriting, we have established a Product Center within the Reinsurance Products team. Within the Product Center we have created a new role, a Portfolio Management Analyst, who will report to the Head of Portfolio Management. The main responsibilities of this role include:
Analysis:
Analyze and monitor assumed portfolios and collaboratively develop respective KPIs
Contribute to regular portfolio reviews on selected segments, classes or regions
Provide quantitative analysis of a portfolio, segment, contract, client or broker
Monitor cat and selected non-cat risk accumulations and visualize findings.
Support retrocession placements, prepare underwriting exhibits, develop data packs, etc.
Planning and Reporting:
Contribute to the overall underwriting planning process and coordinate with stakeholders as needed. Work closely with BUs and management to develop uwr plans and outlooks
Prepare and consolidate planning exhibits and ensure accurate reporting in a timely manner
Contribute to a continuous improvement of best practice.
Competencies:
Strong knowledge of reinsurance underwriting and reinsurance industry
Ability to work effectively with various levels throughout the organization.
Excellent organizational and analytical skills
Good oral and written communication skills
Attention to detail and ability to analyze, verify, and offer potential solutions
Ability to coordinate, communicate, and facilitate
Renewable Energy meets Big Data!
WinJi AG ist ein junges, aufstrebendes Unternehmen, welches in einzigartiger Weiseerfahrene Profis in den Bereichen erneuerbare Energien, Datenanalytik undPrognosemodelle kombiniert. Zielstrebig und top motiviert verfolgen wir unsereglobale Vision, erneuerbare Energien planbar und berechenbar zu machen.
Mit unserer technologie-unabhängigen Plattform-Lösung für Solar- und Windanlagensteigern wir die Rendite erneuerbarer Energien durch intelligente Optimierung derProduktion und Integration in die Handelsmärkte. Dabei schaffen wir unabhängigeTransparenz für Investoren, Betreiber und Versorger.
Wir suchen per sofort oder nach Vereinbarung eine/n:
Asset Analyst neue erneuerbare Energien 100% (m/w)
Ihre Hauptaufgaben beinhalten:
Durchführung von technisch und energiewirtschaftlich fundierten Performance-Analysen und Ableitung von konkreten Massnahmen zur Optimierung der Anlagen-Rendite und -Verfügbarkeit
Teilprojektleitung und Projektarbeit bei Beratungs-Projekten von erneuerbaren Energien
Weiterentwicklung der True Power Software-Lösung für Investoren und Asset Manager von erneuerbaren Portfolien (Fokus Wind und Solar)
Beratung und Betreuung der Kunden und Anwendern zu optimalem Einsatz der Software-Lösung, Ausbau des Asset Managements und Umsetzung von Optimierungsmassnahmen.
Ihr Profil:
Hochschulabschluss im Bereich Ingenieurwesen/Naturwissenschaften oderInformatik/Regeltechnik mit Fokus erneuerbare Energien
Praxiserfahrung und Branchenkenntnisse in den Bereichen AssetManagement und Datenanalytik für erneuerbare Energien
Strukturiertes, analytisches und konzeptionelles Arbeiten als ausgeprägteStärken
Umsetzungsstark, innovativ, belastbar, flexibel und teamfähig
Stilsichere Deutsch- und Englischkenntnisse, Französischkenntnisse vonVorteil
Es erwartet Sie eine vielseitige Aufgabe in einem zukunftsorientierten und innovativen Unternehmen, in dem Sie die einmalige Gelegenheit haben, in einem internationalen Umfeld den Aufbau der Firma mitzuprägen. Diese Herausforderungen meistern wir mit einem engagierten und kompetenten Team.Ich freue mich, Sie persönlich kennen zu lernen.
07/10/2019
Full time
Renewable Energy meets Big Data!
WinJi AG ist ein junges, aufstrebendes Unternehmen, welches in einzigartiger Weiseerfahrene Profis in den Bereichen erneuerbare Energien, Datenanalytik undPrognosemodelle kombiniert. Zielstrebig und top motiviert verfolgen wir unsereglobale Vision, erneuerbare Energien planbar und berechenbar zu machen.
Mit unserer technologie-unabhängigen Plattform-Lösung für Solar- und Windanlagensteigern wir die Rendite erneuerbarer Energien durch intelligente Optimierung derProduktion und Integration in die Handelsmärkte. Dabei schaffen wir unabhängigeTransparenz für Investoren, Betreiber und Versorger.
Wir suchen per sofort oder nach Vereinbarung eine/n:
Asset Analyst neue erneuerbare Energien 100% (m/w)
Ihre Hauptaufgaben beinhalten:
Durchführung von technisch und energiewirtschaftlich fundierten Performance-Analysen und Ableitung von konkreten Massnahmen zur Optimierung der Anlagen-Rendite und -Verfügbarkeit
Teilprojektleitung und Projektarbeit bei Beratungs-Projekten von erneuerbaren Energien
Weiterentwicklung der True Power Software-Lösung für Investoren und Asset Manager von erneuerbaren Portfolien (Fokus Wind und Solar)
Beratung und Betreuung der Kunden und Anwendern zu optimalem Einsatz der Software-Lösung, Ausbau des Asset Managements und Umsetzung von Optimierungsmassnahmen.
Ihr Profil:
Hochschulabschluss im Bereich Ingenieurwesen/Naturwissenschaften oderInformatik/Regeltechnik mit Fokus erneuerbare Energien
Praxiserfahrung und Branchenkenntnisse in den Bereichen AssetManagement und Datenanalytik für erneuerbare Energien
Strukturiertes, analytisches und konzeptionelles Arbeiten als ausgeprägteStärken
Umsetzungsstark, innovativ, belastbar, flexibel und teamfähig
Stilsichere Deutsch- und Englischkenntnisse, Französischkenntnisse vonVorteil
Es erwartet Sie eine vielseitige Aufgabe in einem zukunftsorientierten und innovativen Unternehmen, in dem Sie die einmalige Gelegenheit haben, in einem internationalen Umfeld den Aufbau der Firma mitzuprägen. Diese Herausforderungen meistern wir mit einem engagierten und kompetenten Team.Ich freue mich, Sie persönlich kennen zu lernen.
