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Status  besetzt

Senior Data Scientist


Permanent position


Permanent position




Greater Zurich Area


For this position you offer:

  • Minimum 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
  • A PhD or Master’s degree in a quantitative field (e.g. Statistics, Mathematics, Physics, Economics), Computer Science or an equivalent education
  • Experience in the regulatory risk technolgies domain within the financial industry is a plus
  • Proficiency in at leas one of the following: R, SQL, Python
  • 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 anlaysing data sets from disparate sources applying quantitative methodologies, computational freameworks and systems
  • Business fluency in English is required, German is very welcome
  • Excellen communication and stakeholder management capabilities, the ability to effectively collaborate and build professional relationships across all organisational levels
  • Integrity, responsibility and confidentiality required for dealing with sensitives 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

The job offers you following:

  • Becoming a part of the highly motivated Analytics team which is focusing on building and driving new and state of the art technologies in various fields
  • An exciting role for you as a Senior Data Scientist within the Analytics & Data Science Lab and close collaboration with its COO, Compliance, IT and Operations teams
  • 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 operationalisation
  • Becoming part of an open-minded team with a strong team spirit in a versatile and flexible working environment
  • Flexible and agile working options are possible



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