Experienced Senior Data Scientist

Credit Suisse

View: 126

Update day: 20-03-2024

Location: Zürich Zürich ZH

Category: Legal / Contracts

Industry: Finance

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Job content

Your field of responsibility


An opportunity to join the Strategy & Client Intelligence team, within International Wealth Management (IWM), to work closely with business partners across the division. Purpose of the team is to run data driven analytics to better understand our clients and transform data into actionable client insights.

The task as a Senior Data Scientist is to take a leading role in managing and transforming large, unstructured data volumes into structured information and to run and refine our predictive modelling initiatives.

Further critical responsibilities are being able to present analytic results to internal clients & top management as well as designing and implementing insights into our Tableau reporting.

Your future colleagues


We are a small team comprising of a team leader, 2 senior data scientists and a junior data analyst. We work within the Chief of Staff of the CEO office of IWM. We have a set of core deliverables and continuously expand our areas of expertise. Additionally, we provide support to our CEO office on several critical and highly visible topics. We are 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 global cultural values.


This position offers remote working opportunities for an agreed amount of days per week.

Your skills and experience
  • We are looking for a creative candidate with out-of-the-box thinking based on facts & figures. Someone with a big-picture mind-set and ability to connect the dots. Flexibility is a core trait within the team due to working in a quickly changing environment. Moreover, precision in working with our data is an absolute prerequisite as is reliability.
  • A graduate degree (Masters or PhD preferred) in a quantitative field such as Statistics, Mathematics, Engineering, Computer Science, Physics, or banking & finance with a high affinity to statistics
  • 10+ years of work experience with 5+ years’ experience in applying data mining and/or machine learning techniques, preferably in the area of customer analytics
  • Excellent knowledge of R
  • Advanced analytics and statistical modelling & machine learning methods.
  • Good knowledge of SQL and at least one RDBM system (e.g. Microsoft SQL Server, Oracle DWH, etc.)
  • Ability to independently research and develop innovative analytics solutions.
  • Excellent written and verbal communication, ability to explain complex topics to non-specialists.
  • Good knowledge in Tableau would be a plus
  • Understands the value of diversity in the workplace and is 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

#LI-CSJOB
Ms. V. Eichenberger would be delighted to receive your application.
Please apply via our career portal.

Your new employer

Find a new home for your skills, ideas, and ambitions. Credit Suisse offers you the ideal environment to progress your career, attractive benefits and excellent training.

We are a leading wealth manager with strong global investment banking capabilities founded in 1856. Headquartered in Zurich, Switzerland, and with more than 45,000 employees from over 150 nations, we are always looking for motivated individuals to help us shape the future for our clients.

Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success. We are committed to building a culture of inclusion with a deep sense of belonging for all of us. We will consider flexible working opportunities where possible. Our bank provides reasonable accommodations to qualified individuals with disabilities, as well as those with other needs or beliefs as may be protected under applicable local law. If you require assistance during the recruitment process, please let your recruiter know.

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Deadline: 04-05-2024

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