We're hiring on behalf of a digital bank based in Frankfurt that's transforming the financial landscape in Germany. This institution blends the innovation of a tech startup with the reliability of a regulated financial entity.
What you'll be doing:
* Take ownership of monitoring and analyzing credit exposures across a diverse and expanding loan portfolio, identifying trends and potential risk concentrations.
* Design, develop, and validate robust statistical models to estimate key credit risk parameters such as Probability of Default (PD), Exposure at Default (EAD), Loss Given Default (LGD), and Credit Conversion Factors (CCF).
* Play a key role in enhancing the bank's risk infrastructure refining tools, automating processes, and ensuring alignment with the latest regulatory standards (e.g., CRR, MaRisk).
* Work closely with cross-functional teams including Business Intelligence, Treasury, and Product Development to ensure risk insights are embedded into strategic decision-making.
* Prepare and deliver clear, data-driven presentations and reports to senior management, translating complex analyses into actionable recommendations.
What we're looking for:
* A completed master's degree in a quantitative or scientific discipline such as mathematics, physics, or a related field.
* Proven experience in credit risk management or quantitative model development within the financial services sector.
* Strong programming skills in Python or R, with the ability to build and test models efficiently; familiarity with data visualization tools like Tableau is a plus.
* A structured, analytical thinker with a proactive, hands-on approach to solving complex problems.
* Excellent communication skills in German (written and spoken), along with proficiency in MS Office tools (Excel, Word, PowerPoint).