About this role
Responsibilities
• 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.
Requirements
• 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
Location: DBS Asia Central Job: Analytics Schedule: Regular Employee Status: Full time