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 requirements within the retail mortgage business. * Support the further development and seamless implementation of end-to-end mortgage credit processes and criteria. * Conduct in-depth data analysis and support further development of quantitative models (PD, LGD) to assess key risk indicators across obligor, collateral, and portfolio levels within the mortgage domain. * 3+ years of experience in credit risk management (experience with retail mortgages is an advantage), data analytics, process controls, or credit risk methodology development. * Strong proficiency in SQL for data extraction, manipulation
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