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).