Job Responsibility:
- Lead the design, development, enhancement and ongoing maintenance of actuarial models (including Prophet, DCS, Python-based models and other actuarial software tools) to support both IFRS 17 and RBC2 reporting and analysis, ensuring robustness, scalability and consistency across frameworks.
- Own and continuously enhance the actuarial model governance framework, including model documentation, validation, change control and review processes, ensuring compliance with actuarial standards and alignment with industry best practices.
- Provide technical leadership and subject-matter expertise on actuarial modelling matters, advising stakeholders on model methodology, assumptions, limitations and impacts on financial results.
- Partner closely with internal and external stakeholders (e.g. Finance, IT, Corporate Strategy, Auditors and Consultants) to deliver actuarial and modelling solutions that meet business and regulatory requirements.
- Lead and oversee modelling initiatives and projects, including model redevelopment, enhancement and automation initiatives, ensuring timely and high-quality delivery.
- Support and lead ad-hoc analytical projects as required, providing clear insights and recommendations to head of department.
Requirements:
- Bachelor’s degree in Actuarial Science or a related discipline, with good progress in actuarial examinations from a recognized international actuarial body.
- 5-10 years of experience in life insurance actuarial modelling; experience with IFRS 17 is a strong advantage.
- Hands-on experience with actuarial modelling software, including Prophet, DCS. Experience with ALS and python will be a plus.
- Good understanding of life insurance products, actuarial valuation principles, and financial reporting processes.
- Good analytical, problem-solving, and communication skills, with the ability to work effectively across functions.