
Vice President, Model Development, Credit Rating Modeling
at BNY Mellon
Posted 19 hours ago
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- Compensation
- Not specified
- City
- Wroclaw
- Country
- Poland
Currency: Not specified
BNY Mellon is hiring a VP in Model Development for Credit Rating Modeling to join the Risk & Compliance team in Wroclaw. The role involves executing corporate model development standards, developing and running estimation approaches (PD/LGD/EAD/UGD), monitoring model performance, and communicating results to management and Model Risk. The position requires strong credit risk measurement knowledge, quantitative modeling and programming proficiency (e.g., Python, R, SQL), and the ability to present complex theoretical concepts to non-expert stakeholders and regulators.
- executing corporate-wide standards for model development through creating options for theoretical frameworks, collecting data needed, supporting assumptions, and reviewing outcomes,
- aligning to the development scope established by more senior colleagues,
- monitoring performance of Estimation Approaches, identifying possible deterioration by comparing outcomes to established thresholds,
- executing Estimation Approaches in accordance with approval conditions and communicate results to management,
- supporting use of the Estimation Approaches,
- provide testing and analysis at the request of Model Risk Management Group.
- Credit Risk measurement’s concepts: Basel Accords, Risk-Weighted Assets, Probability of Default, Loss Given Default, CECL,
- Creditworthiness evaluation for various types of wholesale customers,
- Financial ratios analysis and interpretation,
- Climate risk ranking and financed greenhouse gasses emissions,
- Reporting to and communicating with a chief-level stakeholders and regulatory institutions.
- Graduates of Econometrics/Finance/Economics.
- Master’s degree: 1-2 years of job-related experience,
- PhD degree: 0-1 years of professional experience.
- Theoretical background and knowledge of Credit Risk Measurement’s concepts: Basel Accords, RWA, PD, LGD, EAD and UGD estimations.
- Experience with quantitative modeling, numerical analysis, and computational methods with any programming language (Python, VBA, R or SQL are adequate) as well as mathematical/statistical software packages.
- The candidate must have excellent presentation skills, assertiveness & influencing skills, and ability to explain abstract theoretical concepts to a non-expert audience in an easy-to-understand language.
- Proficiency in business English. The candidate must be able to communicate professionally in English-speaking environment. He/she will co-operate, report and communicate with English-speaking stakeholders on a daily basis.
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