Fully qualified actuary (FIA or equivalent) with strong technical and analytical skills
Minimum 5–7 years in actuarial or analytics roles, ideally with exposure to R&D and/or Pricing across lines of business
Proven ability to lead complex projects and stakeholder management of cross-functional teams
Expertise in statistical modelling, predictive analytics, and data science tools (R, Python, SQL)
Familiarity with insurance risk modelling and underwriting processes (ideal)
Strong communication and influencing skills
Ability to translate technical insights into business strategy
Responsibilities
Drive projects that utilise novel datasets (e.g., particularly UnderwriteMe, medical and wellness data) to advance risk modelling and underwriting innovation
Lead ideation and execution of advanced analytics and novel data initiatives supporting Protection and Savings & Retirement strategies
Lead internal and external projects supporting pricing, client solutions, and underwriting teams, including client facing initiatives
Embed advanced analytics techniques into actuarial processes for quantifying existing and emerging risks
Collaborate with Pricing, Underwriting, and Business Development teams to deliver actionable insights
Support utilisation of the Data Analytics Platform (DAP)
Identify and integrate external data sources to improve risk assessment and product propositions
Partner with internal teams (Pricing, Underwriting, and Client Solutions) and external clients on predictive modelling and innovative data utilisation
Represent the organisation at industry forums and contribute to thought leadership
Ensure compliance with internal risk and governance frameworks
Provide project and initiative updates to leadership forums including Data Insight Steering Committee (DISC), Protection Market Leadership Committees, and R&D Leadership