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. * 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. * Strong proficiency in SQL for data extraction, manipulation, and analysis; experience with other programming languages (like Python or R, or other data processing tools) for quantitative analysis and model development is a significant advantage.
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