Tasks
Support in credit risk monitoring, particularly in the development and validation of scorecards, loss ratio estimation, and value-at-risk models.
Participation in the analysis of market value trends for individual brands to identify potential residual value risks.
Collaboration in the areas of data analytics/predictive analytics and big data.
Independent implementation of statistical projects (descriptive, regression, and machine learning analyses) using the R and Python programming languages.
Support in reporting under regulatory requirements.
Collaboration on selected projects with a cross-departmental and international context within the Porsche Financial Services Group.
Requirements
Degree in economics with a quantitative focus, business informatics, data science, (business) mathematics, or a comparable degree.
Programming skills, preferably in R or Python.
Knowledge of the SQL database language is a plus.
Initial experience in (risk) modeling is a plus.
Solid MS Office (especially Excel) skills.
Very Good written and spoken English skills
Independent, analytical, and structured working style as well as strong teamwork and communication skills
Benefits:
Management guidelines based on the Porsche Code
EGYM Wellpass (sports and wellness network)
Participation in company events, cultural events, and sustainability campaigns
Work-life balance (flexible working hours, mobile working, time off for special events, family support)
Various mobility options (job ticket, free employee parking)
Participation in student events
Start: January 2026
Duration: 6 months
For more detail, salary and company information, use the apply link
