Data Scientist for Compliance Analytics - Zürich

Posted on Feb 13, 2019 by Credit Suisse -

Zürich, Zürich Switzerland
Information Technology
Immediate Start
Annual Salary
Full-Time
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
  • A challenging role as Senior Data Scientist in a demanding, dynamic and international environment using the latest innovations in predictive analytics and visualization techniques
  • The chance to engage with external companies in automating regulation and compliance to build a state-of-the art regulatory reporting and analytics infrastructure
  • 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, dynamic, and flexible working environment
  • Flexible / agile working options are possible


  • You Offer
  • A PhD or Master degree in a quantitative field (Statistics, Mathematics, Economics), Information Technology or an equivalent education
  • At least 3-5 years' experience in Statistical Modelling (Classification, Scorecard Models, Segmentation, Clustering, Bayesian statistics), Anomaly Detection, and / or Machine Learning algorithms both Supervised and Unsupervised
  • Good experience in the regulatory technologies or compliance domain within the financial industry
  • Proficiency in at least one of the following: Python, R, Java/Scala, SQL and/or SAS
  • Experience with relational database programming and distributed data processing at scale using Spark or/and 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 plus
  • Expertise in text mining and natural language processing is a strong plus
  • Superb communication and stakeholder management capabilities, soft skills, the ability to effectively collaborate, and to build up your professional relationships including senior level executives
  • High integrity, responsibility and confidentiality a requirement for dealing with sensitive data
  • Demonstrable experience as a strong, self-starting standout colleague and independent thinker, willing to cooperate in a highly collaborative environment and contribute to the team's success
  • Willingness to assume additional responsibilities and to become a respected know-how carrier in our team

  • *LI-CSJOB*
    Ms. M. Moos would be delighted to receive your application.
    Please apply via our Career Portal.

    Reference: 636602690

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