AXIS/ Moody's - Modelling SAA-M

Location: Hong Kong

**Open to relocation candidates

We are seeking an experienced AXIS Modelling Actuary to support the development, enhancement, and ongoing maintenance of actuarial models within a life insurance environment. You will partner with actuarial, finance, and risk stakeholders to deliver robust modelling solutions, support valuation and reporting processes, and improve automation and data quality.

• Develop, code, enhance, and maintain AXIS models and associated actuarial libraries to support valuation, pricing, projections, and financial reporting.
• Implement model changes driven by new products, assumption updates, methodology changes, and regulatory or internal requirements.
• Perform model testing, validation, and reconciliation; investigate and resolve issues, ensuring auditability and appropriate documentation.
• Optimise model run times and improve process efficiency through automation and best-practice coding standards.
• Support end-to-end production runs, including controls, change management, and release management.
• Collaborate with data and systems teams on input data specification, transformation, and integration to modelling platforms.
• Prepare clear documentation, technical notes, and user guides for model development and ongoing support.

• Proven, hands-on AXIS modelling experience, including coding/development and ongoing model maintenance.
• Solid understanding of life insurance actuarial concepts (e.g., cashflow projections, reserving/valuation methodologies, assumptions and model governance).
• Strong analytical and problem-solving skills with the ability to work independently and manage competing deadlines.
• Experience working within controlled environments, including documentation, testing, and change control.
• Effective communication skills, able to explain technical topics to non-technical stakeholders.

• Experience with SQL for data extraction and validation.
• Programming/scripting exposure including VBA and/or R.
• Advanced Excel skills (model prototyping, reconciliation, and reporting).
• Experience with model performance tuning and automation.

• Degree in Actuarial Science, Mathematics, Statistics, Finance, or a related discipline.
• Progress towards, or membership of, a recognised actuarial professional body is preferred.