Key Responsibilities

1. Team Leadership & Mentorship
   • Lead and manage the RBC (Risk-Based Capital) and ALM (Asset-Liability Management) actuarial team, providing technical guidance and career development support to junior staff.
2. Solvency Management
   • Oversee RBC-driven solvency management frameworks, ensuring compliance with regulatory requirements and internal risk appetite.
3. ALM & Stochastic Modeling
   • Design, validate, and maintain robust ALM models and stochastic forecasting tools to project future financial outcomes under various scenarios.
4. Asset-Liability Monitoring
   • Regularly assess asset-liability matching metrics (e.g., duration gaps, liquidity ratios) and propose hedging/rebalancing strategies to optimize financial stability.
5. Fund Segregation Mechanisms
   • Collaborate with stakeholders to establish science-based segregation frameworks for participating and non-participating funds, ensuring transparency and fairness.
6. Performance Analysis & Optimization
   • Conduct deep-dive analyses on RBC/ALM outcomes (e.g., reasonableness, volatility, trend analysis) and develop actionable plans to enhance key metrics.
7. Documentation & Process Improvement
   • Standardize control documentation for RBC, ALM, and fund segregation; refine models, templates, and workflows to drive operational efficiency.

Job Requirements

• Education: Bachelor’s degree or higher in Actuarial Science, Risk Management, Financial Mathematics, or a related field.
• Professional Qualifications:
  • Associate-level accreditation from a recognized actuarial body (e.g., SOA/CAS, IFoA, Actuaries Institute Australia, or CAA China).
• Experience:
  • Minimum 8 years of hands-on experience in life insurance actuarial roles, with a focus on RBC, ALM, or capital modeling.
  • Proven experience leading/managing actuarial teams.
• Technical Expertise:
  • Advanced knowledge of financial modeling, reserving, risk management, embedded value calculations, ALM, and actuarial software (e.g., CROSS, RBC frameworks, IFRS 17 compliance tools).
• Soft Skills:
  • Exceptional communication skills to collaborate with cross-functional teams and present complex concepts to senior management.
  • Strong interpersonal, analytical, and statistical abilities to drive data-driven decisions.