Data Scientist for Compliance Analytics Data Scientist for Compliance Analytics …

Credit Suisse
in Zurich, Zurich, Switzerland
Permanent, Full time
Last application, 27 May 20
Credit Suisse
in Zurich, Zurich, Switzerland
Permanent, Full time
Last application, 27 May 20
Credit Suisse
See job description for details
We Offer
  • The opportunity to become part of our highly motivated Analytics team at Credit Suisse Zurich focusing on building and driving new and state of the art technologies in various fields
  • An exciting role for you as Senior Data Scientist within our Analytics & Data Science Lab and close collaboration with its Chief Operating Officer, Financial Crimes Compliance, IT and Operations teams as well as coordination with related organizations within our Bank
  • Responsibility for developing, maintaining and extracting knowledge from strategic internal and external data sets
  • Studying fundamental and high impact business questions that directly affect the direction of the company and the industry at large
  • Developing and designing algorithms, building prototype versions, running multiple validations with business experts and working on their operationalization
  • Becoming part of an open-minded team with a strong team spirit in a versatile and flexible working environment
  • Flexible / agile working options are possible

You Offer
  • A PhD or Master's degree in a quantitative field (e.g. Statistics, Mathematics, Physics, Economics), Computer Science or an equivalent education
  • At least 3-5 years of experience in applying statistical modelling, machine learning and / or exploratory analysis to large datasets: classification, scorecard models, segmentation, clustering, Bayesian statistics, anomaly detection, NLP
  • Experience in the regulatory risk technologies domain within the financial industry is highly desirable
  • Proficiency in at least one of the following: Python, R, SQL
  • Experience using big data platforms including the development of big data pipelines, relational database programming and distributed data processing at scale e.g. Spark or Hive
  • Familiarity with assembling and analyzing data sets from disparate sources applying quantitative methodologies, computational frameworks and systems
  • Business fluency in English is required, German is a strong asset
  • Integrity, responsibility and confidentiality required for dealing with sensitive data
  • Your superb communication, coordination and experience as self-starting, standout colleague enable you to contribute to the team's success
  • Are you willing to take up additional responsibilities and to become a respected, persistent and self-starting know-how carrier in our team?

Mr. Albinus would be delighted to receive your application.
Please apply via our Career Portal.