Senior Data Scientist

Credit Suisse
Zurich, Switzerland
06 Nov 2019
14 Nov 2019
Job Function
Industry Sector
Finance - General
Employment Type
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
  • 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 considered a plus
  • 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
  • Experience in Financial Crime Compliance or Transaction Monitoring is a plus.
  • Basic understanding of Transaction Monitoring, AML risk types, Typologies, red flags to be able to speak in the language of the user community
  • Business fluency in English is required, German is a strong asset
  • Excellent communication and stakeholder management capabilities, the ability to effectively collaborate and build professional relationships across all organizational levels
  • Integrity, responsibility and confidentiality required for dealing with sensitive data
  • Demonstrable experience as a strong, self-starting, standout colleague and independent thinker, willing to co-operate in a highly collaborative environment and contribute to the team's success
  • Willingness to assume additional responsibilities and to become a respected knowledge carrier within the team
  • Relevant professional designations (e.g., CFA, FRM, FSA, CIMA or PMP) are considered an advantage

Ms. Moos would be happy to receive your application.
Please apply via our Career Portal.