Executive Actuary - Loyalty & Behavioural Science

Job Description

This role represents a pioneering intersection of actuarial science, behavioural economics, and customer engagement strategy within the insurance enterprise. Reporting within the Actuarial division, this position demands deep technical expertise in risk modelling, statistical analysis, and actuarial principles, combined with advanced knowledge of behavioural science frameworks. The Executive Actuary – Loyalty and Behavioural Science will drive measurable improvements in customer lifetime value, risk selection, and portfolio profitability through evidence‑based behavioural interventions and actuarially sound loyalty program design.

• Define and champion the loyalty and behavioural sciences vision across the enterprise, ensuring rigorous alignment with actuarial standards, corporate strategy, enterprise risk appetite, and capital management frameworks.
• Establish a multiyear actuarial roadmap integrating behavioural research into reserving, pricing, capital allocation, and customer engagement innovation.
• Act as a thought leader and subject matter expert, representing the organization at actuarial conferences, industry forums, and regulatory discussions on the application of behavioural science in insurance risk management.
• Collaborate with the Chief Actuary to embed behavioural insights into statutory reporting, experience studies, and actuarial opinion work.

• Lead the design and rigorous testing of behavioural economics frameworks to influence customer decision‑making across the policy lifecycle claims, underwriting, renewals, and persistency.
• Develop actuarially validated behavioural nudges and interventions that improve customer compliance, reduce fraudulent claims, enhance risk awareness, and optimise loss ratios.
• Partner with pricing actuaries and product development teams to embed behavioural insights into experience analysis, rate making methodologies, GLMs, and predictive modelling frameworks.
• Conduct credibility weighted analyses to measure the financial impact of behavioural interventions on mortality, morbidity, lapse, and claims experience.
• Integrate behavioural assumptions into actuarial projections, cash‑flow testing, and embedded value calculations.

• Drive revenue growth through the commercialisation of actuarial capabilities and solutions.
• Develop innovative product offerings leveraging actuarial expertise.
• Create value propositions that effectively communicate complex actuarial concepts to non‑technical stakeholders.
• Oversee the development of proposals, business cases, and commercial terms.

• Ensure all loyalty initiatives comply with actuarial standards of practice, insurance regulations (including IFRS 17, Solvency II where applicable), data privacy laws, and ethical guidelines.
• Collaborate with the Chief Risk Officer and appointed actuary to embed loyalty and behavioural strategies into the enterprise risk management framework, Own Risk and Solvency Assessment, and stress‑testing protocols.
• Conduct scenario planning, sensitivity analysis, and actuarial stress testing to evaluate the impact of loyalty incentives on adverse selection, moral hazard, risk exposure, reserves adequacy, and long‑term financial sustainability.
• Provide actuarial sign‑off on behavioural program designs to ensure alignment with risk appetite and capital requirements.

• Oversee advanced actuarial analytics teams to generate actionable insights from policyholder behaviour, claims patterns, lapse studies, mortality experience, and loyalty program data.
• Drive adoption of machine learning, predictive modelling, survival analysis, and AI techniques including neural networks and ensemble methods to personalise customer engagement while maintaining actuarial rigor.
• Translate complex actuarial data and behavioural research into executive‑level insights, board presentations, and regulatory submissions.
• Lead the development of experience studies that quantify the financial…