Model Risk management
4 months ago
Responsibilities:
- To establish and maintain a robust model governance frameworks, policies, and procedures consistent with regulatory requirements and industry best practices. This includes documentation standards, model inventory management, and approval workflows.
- To lead the model development and validation of all models used across various business functions, including credit risk, market risk, liquidity risk, fraud detection, pricing, and customer segmentation.
- Conduct thorough assessments of model conceptual soundness, data quality, implementation accuracy, and performance via statistical testing.
- Provide guidance on model selection, development methodologies, and validation techniques.
- Develop and implement risk mitigation strategies, such as model recalibration, scenario analysis, stress testing, and model limitations disclosure.
Requirements:
- Bachelor’s/ Advanced (Master or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline.
- Good understanding of retail banking/small business/consumer finance products and business lifecycle (e.g. sales, underwriting, portfolio management, marketing, collection etc.).
- 9 years’ in-depth experience in hands-on Statistical Modelling and/or model validation preferably in the retail banking space.
- Proficient in statistical computing tools and packages like SAS/R/SQL etc.
- Strong analytical skills and understanding of quantitative and statistical techniques.
- Experience in directly interacting with Business and exposure to international markets will be a plus.
- Good understanding of market risk measures, concepts and regulatory rules.
- Good knowledge of MAS regulatory guideline and regulatory reporting requirement (e.g. MAS759, MAS760, MAS610 etc).
EA Reg. No.: R1105334
EA Licence No. 16S7919
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