Data Analyst Financial Market Supervision (m/f/d)

About the job

You support the supervision of the Swiss financial market through the structured preparation, analysis and visualisation of data. In this role, you create analyses, reports and dashboards for internal stakeholders and contribute to ensuring high data quality. In addition, you support the professional supervision and further development of supervisory instruments and evaluation systems.

• Conducting and maintaining analyses as well as creating, further developing and optimising reports and dashboards
• Performing data steward tasks for defined data areas, especially in connection with documentation, professional definitions as well as data quality and consistency
• Supporting and further developing evaluation systems and supervisory instruments, particularly through reviewing, adjusting and implementing calculation logics and parameters
• Participating in projects and taking on additional data-related tasks within the team

• University degree (Bachelor or Master) in data science, statistics, economics, mathematics or a comparable field
• Very good knowledge of SQL as well as good knowledge of the Python programming language for data analyses
• Independent, structured and reliable working style as well as enjoyment of teamwork and exchange with internal stakeholders
• Initial practical experience in the field of data analysis as well as knowledge of the banking, insurance or financial market environment are advantageous
• Very good written and spoken German or French skills (C2) as well as good knowledge of the other language and English (B2)

Mara Veraguth will be happy to provide information.

FINMA supervises the Swiss financial market. It protects the interests of investors, creditors and insured persons and contributes to the stability and competitiveness of financial market participants through its supervision. More than 800 competent and motivated employees are committed to this every day.

We offer you a position in the Integrated Risk Expertise division as