We are currently seeking a high calibre professional to join our team as a Head of Economic Scenario Production

In this role you will:

• Lead end-to-end ESG (Economic Scenario Generator) production delivery across HK/GZ, meeting monthly and quarterly timelines and quality standards.
• Own the calibration framework and governance for key assumptions/methodology to ensure risk-neutral, market-consistent scenario outputs fit for IFRS 17 / HK RBC valuation.
• Direct calibration updates and provide clear, defensible commentary on market movements and impacts to scenario outputs and valuation.
• Apply expert judgement to balance accuracy vs practicality (stability, runtime, explainability), documenting rationale, limitations, and controls.
• Act as Model Owner for the ESG, ensuring the model remains up-to-date, fit-for-purpose and compliant with model risk requirements, with robust documentation, controls and audit trail to support audit and SLOD assurance, including ongoing model monitoring and periodic enhancements.
• Maintain strong production process and control (sustainability, independent review, issue management, escalation, audit trail) and continuous improvement/automation.
• Manage the ESG vendor relationship (incl. TPEM responsibilities), driving issue resolution, enhancements, and contract/service performance.
• Lead, coach and develop the team (HK direct reports and GZ hub), building quantitative capability and operational resilience.

To be successful you will need:

• Fellow of an Actuarial Institute/Faculty (FIA/FSA/FSI or equivalent) with strong post-qualification actuarial experience.
• Proven quantitative modelling (quants) experience in ESG/stochastic modelling, derivatives/market risk models, Monte Carlo methods, and/or calibration optimisation.
• Strong command of interest rate modelling, yield curve construction, volatility modelling, and dependence/correlation concepts (as relevant to the ESG).
• Demonstrated expertise in assumption and methodology governance: setting, reviewing, documenting, and defending calibration choices.
• Strong insight into economic/market movements and implications for asset valuation, risk premia and scenario dynamics. Solid understanding of insurance liability risk profiles (duration, guarantees/options, path dependency) and how these drive calibration and scenario design.

• Demonstrated track record of adopting advanced technology (e.g., cloud/distributed compute, model optimisation and automation) to improve run-time performance, scalability and production resilience for high-volume scenario generation.

• Track record of balancing model accuracy and theoretical soundness with production practicality, control requirements and stakeholder needs.
• Experience engaging effectively with auditors/regulators/model risk stakeholders and managing third-party vendors/software providers.