Job Responsibility :
Assist in the following areas :
Risk Pricing
- Evaluate pricing assumptions, models, and product features for new product proposals.
- Assist in reviewing product profitability, claims experience, and portfolio mix to inform pricing recommendations and enhance product performance.
Stress Testing
Assist in maintaining and enhancing the stress testing framework, including methodology, documentation, and governance.Support enterprise-wide stress testing across market, credit, capital, and operational risks.Contribute to scenario development using macroeconomic and financial indicators.Support periodic reviews and updates of stress testing assumptions and models to ensure relevance and accuracy.Capital Management
Assist in analysing capital adequacy and identifying mitigation actions.Support reporting of capital-related risks to Asset Liability Committee Meeting (ALCO).Actuarial and Risk Analytics
Conduct experience studies, claims ratio analysis, and trend monitoring to inform pricing, underwriting, and guarantee strategies.Apply statistical and actuarial methods to analyse claim emergence patterns, default probabilities, and recovery rates across different guarantee schemes.Develop and maintain frequency-severity models for the guarantee portfolio to estimate expected losses, tail risks, and capital requirements.Governance and Reporting
Prepare the papers and slides with the key outcomes from the completed analysis to Management and Board Level Committees.Ensure timely and accurate reporting aligned with regulatory and internal standards.Job Requirement : Qualification :
Candidate must possess at least a Bachelor's Degree, Master's Degree and /
Or Professional Degree, in Statistics, Mathematics, Actuarial Science, Economics, Business Administration, Finance, Banking or Accountancy. Progress in actuarial exams under IFoA, CAS, SOA, or equivalent is added advantage.
Experience :
More than 4 years of working experience in actuarial and stress testing, and / or in a research-related role, preferably within the credit risk or financial services industry.
Knowledge :
Knowledge of SAS, Python, and other statistical or analytical tools used in credit risk modeling will be an added advantage
Skills / Competencies :
Excellent communication and report writing skills. Able to present reports to
Management and Board. Team player and able to work under stress.