Credit Risk Manager (Mortgage)

About the opportunity N26 is looking for a Credit Risk Senior Associate to join N26's Retail Mortgage team. The core purpose is to design, implement, and manage robust data analytics and second-line process controls for the mortgage portfolio. The role emphasizes deep methodological expertise with data processing tools (SQL, Python, R) and a proactive curiosity for broader mortgage business aspects, including macroeconomic analysis of collateral and digital process controls.

Requirements

. In this role you will Contribute significantly to the further development of N26's mortgage credit risk function, aligning with N26's growth aspirations, robust risk management objectives, and stringent regulatory compliance

within the retail mortgage business. , EBA GL LOM), and German (MaRisk, KWG) regulations. Support the further development and implementation of controls for the end-to-end mortgage credit processes.

This includes, but is not limited to, loan granting, comprehensive collateral management, sophisticated monitoring, proactive early warning systems, intensified and problem loan management, and accurate loan loss provisioning. Design, implement, and operate robust second-line control frameworks and tools for mortgage processes and the portfolio, including for the oversight of business activities and effective monitoring of third-party service providers. Develop and maintain a resilient and accurate mortgage credit risk database, crucial for precise portfolio and single case monitoring, portfolio reporting, and loan loss provisioning, with a strong focus on data quality and integrity.

Conduct in-depth data analysis and support further development and implementation of IFRS 9 (PD, LGD) and quantitative models to assess key risk indicators across obligor, collateral, and portfolio levels within the mortgage domain. Proactively run comprehensive risk analyses, including assessing the impact of macroeconomic factors on collateral values and broader portfolio performance.

, help ensure transparency, and compliance with applicable credit law and regulations, and contribute to establishing a risk culture in the organization. , Master's degree in a relevant field, passed CFA or FRM exams) is a strong plus. 3+ years of experience in credit risk management (experience with retail mortgages is an advantage), data analytics, process controls, or credit risk methodology development.

Previous experience in a FinTech environment is a plus. Skills Proven experience in building, implementing, and running credit process controls and oversight frameworks. Good understanding of key risk indicators across obligor, collateral, and portfolio levels within the mortgage domain.

, credit decisioning, monitoring, early warning, intensified and problem loan management). g. , THRK) or German (MaRisk, KWG) regulations being advantageous; successful track record of understanding their implementation and liaising with supervisory authorities is a strong plus.