Manager - Model Risk

About your team

The Enterprise Risk Management (ERM) function is led from Singapore and the primary purpose of the ERM team is to ensure that the business is managing risk within its agreed risk appetite, and in accordance with ERM Framework in place. The ERM function is also responsible for capital management, key risk regulatory reporting, policy governance and the ERM framework. It also acts as the oversight function for model risk, strategic risk, financial risk, ESG risk and strategic ventures.

About your role

A senior model validation professional with a primary responsibility for independently completing model validation exercises. This role requires a deep understanding of modelling (preferable asset management modelling experience), their underlying mathematics, and the technology used for implementation. The ideal candidate will possess a strong background in model validation or development within financial institutions or consulting firms. The Model Risk Manager will tackle challenges related to complex and extensive models and innovate solutions to support effective model risk assessment. As an experienced Model Validation Quant, this role focuses on engaging with business, i.e. model owner and developers in a model validation exercise, conducting in-depth validation analyses, identifying potential issues and communicate effectively to relevant stakeholders. It will also involve facilitating knowledge sharing and effective risk management to benefit the team and the wider business while maintaining strict adherence to FIL's Model Risk Policy and procedures.

About you

• Strong expertise in at least one of the following areas: model usage in asset management, risk management, finance, AI/ML, or related domains (e.g., fair valuation, performance attribution).
• Minimum of 4 years experience in quantitative modelling and model validation within the financial industry.
• Advanced degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Economics, or a related field (preferred).
• Proficiency in programming languages such as Python, R, or MATLAB.
• Ability to demonstrate project delivery across model validation, model documentation will be highly advantageous.
• CQF/FRM/CFA designation would be advantageous.
• Hands-on mentality with excellent analytical, problem-solving and written skills.
• Excellent at providing innovative ideas and comfortable working under pressure.
• Dedicated to maintaining high quality standards and client satisfaction.