Switzerland-Region Zurich-Zürich | Full-time | Corporate Functions | English

We Offer


  • You the opportunity to become part of our highly motivated Analytics team in 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 dynamic, international and demanding 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
  • You are responsible for developing, maintaining and extracting knowledge from strategic internal and external data sets
  • Studying fundamental and high impact business questions that directly impact the direction of the company and industry at large
  • Developing and designing algorithms, build prototype versions, run multiple validations with business experts and work on operationalization
  • You will be part of an open-minded team with a strong team spirit that acts in a versatile, dynamic, and flexible working environment
  • We are open to discuss flexible / agile working



You Offer

  • A PhD or Master degree in a quantitative field (Statistics, Mathematics, Economics) or Information Technology
  • You have gathered 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
  • Strong experience in the Regulated Technologies industry or compliance domain within the financial industry
  • Knowledge in C, C++, Python, R, Java, Scala, SAS, SQL, or/and Spark
  • You are familiar with SQL and relational database programming and distributed computing platforms and query interfaces such as MapReduce, Pig or/and Hive
  • Fluency in English mandatory and German optional (written and spoken)
  • If you have expertise in text mining, natural language processing this would be a strong plus
  • Your excellent people management abilities and you good communication skills enable you to collaborate effectively and to build up professional relationships even with senior level executives
  • Your high-level of confidentiality, integrity and responsibility enable you to deal with critical and confidential data
  • You feel at ease in assembling data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems
  • As demonstrated standout colleague, self-starter, and independent thinker you are willing to cooperate in a highly collaborative environment and to contribute to the team's success
  • You are willing to assume additional responsibilities and to become a respected know-how carrier in our team
Ms. M. Moos would be delighted to receive your application.
Please apply via our career portal.
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Confirmed 13 hours ago. Posted 30+ days ago.

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