Deutsche Börse

Data Scientist – Risk Design

Deutsche Börse

full-time

Posted on:

Location Type: Office

Location: Frankfurt am Main • 🇩🇪 Germany

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Job Level

Mid-LevelSenior

Tech Stack

DockerHadoopPythonSparkSQL

About the role

  • Collect, Process, and analyse datasets to provide actionable insights and data-driven recommendations to internal and external stakeholders
  • Design reusable data and analytics solutions catering a broad set of risk management use cases
  • Create and manage data products and provide data pipelines for clean, transformed datasets ready for use by risk analysts and other business users in self-service mode
  • Develop and maintain dashboards, reports, and visualizations for recurring and ad hoc analytics tasks
  • Collaborate with stakeholders inside and outside the risk department to address data related challenges
  • Implement and enforce data governance policies to ensure the data quality is aligned with the organizations risk appetite
  • Engage with clients and client-facing teams to ensure implemented solutions are aligned with customer needs
  • Provide training and support to team members on data related tools and technologies

Requirements

  • M.Sc. or PHD in a quantitative or economical discipline (Econometrics, Mathematics, Computer Science, Physics, Financial Engineering, or any other comparable field)
  • Minimum 4 years of experience in risk management with focus on data and analytics
  • Sound knowledge of financial instruments (ETD, OTC, cash market), valuation methods and market risk management methods
  • Familiarity with the CCP business model is a plus
  • Excellent analytical and problem-solving as well as communication skills
  • Ability to effectively explain insights generated from complex data sets
  • Proficiency in common tech stack and programming languages employed in the context of data and analytics (e.g. Python, R, SQL, Power BI, Git, Hadoop, Docker, Spark, Data Governance and Cataloguing tools, …)
  • High commitment, motivation, hands-on attitude, and willingness to take on responsibility
  • Proficiency in written and spoken English; additional German language skills will be an asset
Benefits
  • Health insurance
  • Paid time off
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisdata governancedata visualizationrisk managementfinancial instrumentsvaluation methodsmarket risk managementPythonRSQL
Soft skills
analytical skillsproblem-solvingcommunication skillsexplanation of insightsmotivationhands-on attituderesponsibility