Data Scientist for Compliance Analytics #132604
Credit Suisse
Zürich, Region Zurich, Switzerland
vor 4 Tg.

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

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