36 jobs found in Zürich

Bei unserer Kundin herrscht eine sehr angenehme Arbeitsatmosphäre mit viel Drive. Ein junges Team treibt die Digitalisierungsprozesse in der Finanzbranche an und setzt diese für die hochstehende Kundschaft um. Was die Firma so erfolgreich macht, sind die motivierten Mitarbeiter, denn die grossen Gestaltungsmöglichkeiten inspirieren. Das ist aber noch nicht alles: Flexible Arbeitszeiten Ausflüge mit dem Team Ein Auto steht den Mitarbeitern zum Ausleihen zur Verfügung Nicht nur durch ein gutes Versicherungspaket sind die Mitarbeiter gut versorgt, sondern auch durch reichlich vorhandene Snacks und Drinks im Büro Deinen Enthusiasmus kannst du bei potenziellen Kunden einsetzen, deren Bedürfnisse aufnehmen und die Anforderungen an die Data Science Produkte spezifizieren, sowie: Arbeiten im Business Intelligence, Data Science, und Machine Learning Umfeld, wofür du entsprechende Erfahrung mitbringst sowie in agilen Teams Weiterentwicklung des Product Roadmaps entsprechend den Anforderungen und Bedingungen der Finanzindustrie Als Software Engineer Hands On Mitarbeit im Coding und Analyse mit SQL und Python Und was bringst du mit? Ergreifst du gerne die Initiative, bist analytisch und organisiert? Dann passt dies schon mal gut. Aber vor allem solltest du den Kundenkontakt schätzen, eine Leidenschaft für Datenlösungen mitbringen sowie Kenntnisse der Finanzindustrie. Dein Einsatz wäre in der DACH Region vorgesehen, wofür Deutsch als Muttersprache gewünscht ist. 10 Schritte zu deinem Traumjob! Schritt 1:   sende deine Unterlagen an jringger(at)twincap.ch oder ruf mich an unter +41 44 810 60 00 Schritt 2 - 10:   erledigt die TwinCap dann für dich

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.

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

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.

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.

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.

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.

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

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.

Situation At Homegate we are already very strong in Switzerland with business customers. To become the strongest player in regards to private customers, we're starting a brand new team, which will focus on winning new private customers and listings. This small team which will be... highly agile, reacting to data and market insights immediately eager to learn, either through data analysis, mailing our customers or phone call campaigns focusing on quick, hacky approaches (one-off approaches) which only stay for a few weeks willing to be spontaneous, try out also seemingly stupid ideas, interact with customers, step out of the comfort zone What would be your responsibilities? You analyze existing data coming from Homegate's rich historical data, competition analysis, Google Analytics, A/B testing, mail campaign reports in order to find opportunities to grow our listing stock at Homegate You test hypothesizes first with existing data and then with the team through implementing new adhoc prizing or service options in the market You help segmenting the market, e.g. geographically, different personas (private vs. professional customers), different situations (rent vs. sales), prizing, etc. in order to find the next growth opportunities You look for new data sources, either official ones, through crawlers, etc. What we require from you You have worked in the classifieds segment, ideally real estate 3+ years experience in statistical modelling (regression/classification) Working knowledge of SQL, Tableau knowhow is a nice-to-have Proficiency in a statistical programming language (R, Python/Pandas or similar) Basic Data-Engineering capabilities (parse different type of raw data, data cleansing, matching, etc.) Fluent in English with strong communication skills (both written and verbal), German is a plus AWS knowledge is a plus (EC2, VPCs, S3, Redshift) Most importantly: you need to be curious and spontaneous, ready to try out crazy ideas with an entrepreneurial approach Benefits Working with experts in the field in an international environment Flexible working hours and Home-office possibilities Personal development plan and yearly budget for educational courses, conferences etc. On-site canteen with plentiful selection of fresh food and salad Lots of team activities and regular hackathons

Are you excited to keep up-to-date with new algorithms and care about implementing them as efficiently as possible? Do you like to find simple and efficient solutions to complex problems? Are you ready to take on a new challenge and join a fast growing and leading Swiss PropTech startup with ambitious plans to grow internationally? Then apply now and join us on our mission to improve the place where employees spend most of their days – the workspace. WHAT YOU WILL DO Maintain and further develop the backend of Locatee Analytics Implement data analytics and aggregations Design major new features and demonstrate an understanding of development and platform constraints Come up with the architecture for new features Help to drive and deliver projects alongside the team Ensure the software we ship runs stable and meets our customer’s quality standards Employ simple design and pragmatic implementation techniques to drive business value Code reviews to verify that the implementation meets specifications and designs using best practices Teach small groups of developers and contribute to Locatee’s shared knowledge base Mentor junior team members to progress their technical and profession skills Positively influence the reputation of Locatee in the wider tech community Help bring in great candidates for hire; participate in interview processes, help the team make meaningful, diverse hiring decisions Contribute and lead your own ideas in our agile development process WHAT YOU BRING University degree in computer science, mathematics, bioinformatics, or related fields Java programming language is your mother tongue Solid Experience with Spring Framework, Messaging, Security, Web Spring Data, Hibernate, JPA, transaction management Maven SQL, MySQL/MariaDB Git Aware of industry best practices and trends that have at least one major skill outside of core coding, such as monitoring, documentation, integration testing, visual design or performance optimization Deep knowledge of networking is a plus Continuously improve our code base, systems and processes Great teammate, entrepreneurial mindset Inspire a small group of people, actively pushing them to stretch themselves Keen to help create positive, supportive, engaging team environment Excellent communications skills in English (written and spoken) 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 Through a flat organisation we encourage innovation, ownership and open communication so that everybody feels engaged in the dynamic of the group 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 an English-speaking office with a young, energetic, talented and multinational team that cares for each other We live diversity 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. If this sounds exciting, please reach out to Charlotte by submitting your CV and cover letter.

Our team is a mixture of Computer Scientists, Mathematicians, Data Scientists and Business People. What does our day look like? After grabbing a nice espresso from our Italian coffee machine, we start our day with a stand up meeting to get everyone on track. Around lunchtime, we usually go to the nearest store, get some food and have lunch in the chill out area in our office. We love Pizza, so we have some delivered to our office every Friday. It's safe to say we are a multicultural company as we currently speak around 10 mother tongues. Our common languages are English, Python, and JavaScript. As much as we love having fun together, we enjoy working on developing innovative and groundbreaking software even more. As the problems we solve are very complex and exciting, we apply the newest cutting-edge technologies. We think and decide fast. Each of us has a voice with weight and says what she/he thinks. We love to plan with Scrum. Nevertheless, we do not panic, if we have to update our plan again. Working in our fast-paced environment requires the ability to constantly adapt to new challenges. That's why we collaborate mostly on site in our open office space. What problem do we solve? We engineer software solutions that enable financial institutions to digitize their compliance processes. Banks are subject to strict regulation which are an essential part of the prevention of money laundering, tax fraud and necessary to control the risks of the financial sector. Complying with the rapidly changing regulations is complicated and extremely demanding for everyone involved. Our software ensures that banks always have their clients compliant. What's your role? Our technology is not limited to the today's use cases. So new components of our solution need to be engineered and existing ones pushed further. Therefore we are introducing a Product Owner structure. As our first Product Manager, you are responsible to convert our development road-map into stories for the Development Team, to define the UX of our Software and to manage the QA processes. You manage all involved parties in our projects at the junction of engineering, QA, design and business development. Do we match? You have at least 5 years job experience as a Product Manager, Software Product Owner, Project Manager or similar role You are able to translate complex business processes into software requirements You are experienced in writing stories for Software Development You have an excellent understanding for good User Experience You are highly effective in managing projects You perform best in an agile work environment You love learning from others and you share your expertise Master's degree or similar in Computer Science, Information Systems or Business Administration Most important: You are able to convince the whole team with your personality and your positive spirit. atfinity is proud to be an equal opportunity employer. Your nationality, gender, religion, race, colour, sexual orientation and other personal preferences aren't important to us. Our transparent salary system offers equal pay for equal positions, no matter who you are!

Job Category Sales Job Details As a Strategic Account Executive within the Salesforce Analytics team you will join this Emerging Cloud sales team during a period of significant growth to sell the smartest analytics and citizen data science suite for every business user. Einstein Analytics & Einstein Discovery combine dynamic, interactive data visualisation with the power of machine learning to deliver insights and data-driven applications for every business user. Our suite tells businesses what happened, why, what might happen next, and importantly, what can be done to improve it. This Strategic Account Executive will formulate and execute an Analytics sales strategy for Switzerland, drive revenue growth by penetrating the current customer base, and develop new customers in this segment. You will work in partnership with the existing, Core Account owners and will carry quota for the Einstein Analytics & Einstein Discovery product sales. Your Impact You will work closely with your customers as a trusted advisor to deeply understand their unique company challenges and goals. You will help them to define use cases, prove business value and cement license demand for individual deals or to contribute to larger, multi-cloud deals. You will show them why Einstein Analytics & Einstein Discovery are the ideal products to use with their other Salesforce solutions and how they add significant value over what they currently have. You will work with a specialist team of SE's and Data Scientists on POC's and Pilots, and be able to demo out of the box Einstein Analytics & Einstein Discovery yourself after training is provided. You will consult with customers on the Salesforce Einstein Analytics & Einstein Discovery suite to evangelise solutions that will help them reach their business goals and blaze new trails within their organisations. You will truly 'own' the Einstein Analytics & Einstein Discovery lead generation to order process in your sector and will also enable Core teams with key product and industry plays relevant to their accounts, and subsequently either lead these activities end to end or work jointly with Core teams to drive growth. You will contribute to our business growth in a fast paced, collaborative and fun atmosphere, as a valued member of our Ohana. Required Skills You will be 'Salesforce savvy' with a good level of understanding of one of the Services' Cluster industries through previous experience of selling to them over the course of at least the last 2 years. You will have worked in the Enterprise space in a sales role for over 2 years. You will have a high level understanding of our Einstein Analytics & Einstein Discovery suite. You have shown that you are both a 'farmer' and a 'hunter'. Fluent German and English are a must have And like all sales teams, we are looking for the following attributes: Consultative selling experience Prospecting Skills Territory planning Competitive Spirit A hunger to find new business as well as attach to existing business Resourceful Coachable Forecast rigor Campaign and Sales Play execution Drive for results Strong business acumen Articulate ROI Solution Selling Ability Discovery Skills Objection Handling Skills Planning and Closing Skills Courageous Communicator Can collaborate and influence in a “win as a team” environment Is a trusted advisor to customers and colleagues. Posting Statement Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay fees to any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.