Data Scientist - Lausanne - 80-100%

Credit Suisse is a leading global wealth manager with strong investment banking capabilities. Headquartered in Zurich, Switzerland, we have a global reach with operations in about 50 countries and employ more than 45,000 people from over 150 different nations. Embodying entrepreneurial spirit, Credit Suisse delivers holistic financial solutions to our clients, including innovative products and specially tailored advice. Striving for quality and excellence in our work, we recognize and reward extraordinary performance among our employees, provide wide-ranging training and development opportunities, and benefit from a diverse range of perspectives to create value for our clients, shareholders and communities. We are Credit Suisse.

We Offer
The unusual chance for you to extend your career in this exciting position, based in Lausanne. This role provides ideal chances to challenge your career and build a strong network with positive relationships while learning new things on-the-job!
A department which values Diversity and Inclusion (D&I) and is committed to realizing the firm's D&I ambition which is an integral part of our cultural values

• The opportunity to become part of our highly motivated Analytics team at Credit Suisse Lausanne focusing on building and driving new and state of the art technologies in various fields
• An exciting role for you as a Data Scientist in an international and demanding environment using the latest innovations in predictive analytics and visualization techniques
• Building Risk reporting foundational capabilities to support adopting initiatives as well as implementing data integration and modification as a core component in big data platforms
• Responsibility for developing, maintaining and extracting knowledge from strategic internal and external data sets
• Detailing data attributes, data feeds and data sources in a concise and succinct way
• Developing and crafting algorithms, building prototype versions, running multiple validations with business specialists and working on their operationalization
• Becoming part of a forward-thinking team with a strong team spirit in a versatile, dynamic, and flexible working environment
• Flexible / agile working options are possible

You Offer

• A Bachelor or Master degree in a quantitative field (Statistics, Mathematics, Economics), Information Technology (University or University of Applied Sciences) or an equivalent education
• At least 2 years of experience in Data Analytics
• Background in statistics, analytics methods and statistic programming tools (Python or R) and/or a programming language like Java, C, C++, Matlab is a strong plus.
• Due to your experience with relational database programming and complex data pipelines you feel at ease in crafting data sets from disparate sources and analysis using appropriate quantitative methodologies, computational frameworks and systems
• Know-how in distributed data processing at scale using Spark or/and Hive is an advantage
• Experience in the regulatory technologies or Risk domain within the financial industry is an asset
• Integrity, responsibility and confidentiality required for dealing with sensitive data
• Relevant professional designations (e.g., CFA, FRM, FSA, CIMA or PMP) are considered an advantage
• Positive attitude, flexibility, curiosity and interest in working in a collaborative environment with focus on improvement.
• You understand the value of diversity in the workplace and are dedicated to fostering an inclusive culture in all aspects of working life so that people from all backgrounds receive equal treatment, realize their full potential and can bring their full, authentic selves to work
• Business fluency in English is required, French or German is a plus

*LI-CSJOB*
Ms. E. Rechenmann would be happy to receive your application.
Please apply via career portal.

Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.