• Conduct independent validation of models, including AIML models, credit risk, and market risk models.
• Assess inputs, assumptions, conceptual soundness, and empirical performance of models.
• Collaborate closely with model developers, risk managers, and other stakeholders to understand model purposes and applications.
• Communicate validation results and provide constructive feedback to model developers.
• Ensure models comply with regulatory requirements and internal risk management policies.
• Stay updated on relevant regulatory guidelines (e.g. new requirements on artificial intelligence/machine learning models) and industry best practices in model validation.

• Degree in a quantitative discipline (such as Statistics, Mathematics, Quantitative Finance, Data Analytics or equivalent) is preferred
• At least 3-5 years of experience in related area
• Outstanding quantitative and programming skills (e.g. Pyspark, Python, etc.)
• Strong knowledge of statistical analysis, econometrics, machine learning techniques, and Large Language Models
• Understanding of regulatory requirements and guidance related to model risk (e.g.,MAS 637, FEAT Principle)
• Self-motivated and a desire to learn and develop professionally
• Good written and verbal communication skills
• Ability to work independently and collaboratively in a team environment
• RAI and FRM certification preferred

DBS Asia Central

Analytics

Regular

Full time