StepStone

Job Description

Stellantis Financial Services was born in 2023, combining the activities of PSA Finance, Opel Finance and Fiat Chrysler Automobiles Automotive Services to create one company, as part of a joint venture with BNP Paribas. Our mission as a joint venture is to develop a trusting, long-term and close relationship with all our customers, ensuring transparency at every stage of the vehicle finance process and offering associated services including insurance to complement these products further. Offering a range of vehicle finance solutions, we work closely with the Stellantis automotive brands to ensure that our products are suited to our customer's needs. We help our customers to choose a finance agreement that is tailored to them and their personal financial circumstances.

With our offices based in Neu-Isenburg, Rüsselsheim and Potsdam, we are dedicated to serving our customers and developing new product offerings. The teams are driven by our core values, which guide us in everything we do, ensuring that we offer our customers the service that they expect.

(Senior) Risk Data Analyst (m/f/d)


  • Development and implementation of data models, schemas, and databases to ensure data integrity and accuracy in accordance with IFRS 9
  • Creation of tools to calculate, validate, monitor and report the Cost of Risk for our organization
  • Data analyses to identify trends, patterns, and insights as support for our business decisions
  • Cooperation with Finance, Collections and other departments to analyse and reconcile data, ensuring data outputs match regulatory expectations
  • Reporting the results to key senior stakeholders and local risk teams as well as exchanging with different business units to better understand drivers of provision movements

  • Masters or equivalent degree in a relevant subject such as IT / Finance / Operation research / Economics / Mathematics or equivalent
  • Profound knowledge in programming languages for data focused software such as Python, SAS, SQL or similar (DataIQ) to extract, manipulate and work with large data
  • Professional experience with data models, databases, data analyses and reporting tools
  • Highly proficient in spoken and written English, French and/or German languages skills desirable
  • Ability to plan and organize workload to achieve desired priorities and objectives

  • Home Office
  • Retirement Pension Plan
  • Flexible Working Hours
  • Employee Discount
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