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. * 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. * Partner with Mortgage Business, Group Treasury, Capital Markets, Corporate Finance, Risk Controlling, Accounting, Regulatory Reporting, and Tech departments to implement credit requirements, help ensure transparency, and compliance with applicable credit law and regulations, and contribute to establishing a risk culture in the organization. * Strong proficiency in
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