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. * Bachelor's degree in finance, econometrics, statistics, mathematics, computer science, or a comparable quantitative field; an additional qualification (e.g., Master's degree in a relevant field, passed CFA or FRM exams) is a strong plus. * 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. * Strong analytical and quantitative skills, with the ability to independently generate actionable insights from complex data. * Bridge Complexity: Excellent communication skills, particularly the ability to translate complex ...
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