Model Risk management

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