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A newly formed Predictive Analytics team within a leading global reinsurer is growing - and this is one of its most influential hires. Sitting at the heart of the Longevity and Protection pricing function, this role carries real commercial weight. You won't just be building models - you'll be shaping how they influence pricing decisions across one of the world's most competitive life markets. It's a blend of technical depth, strategic input, and meaningful stakeholder exposure, backed by strong investment and senior visibility from day one.
Job Responsibility:
Deliver predictive models (GLMs, GAMs, regression techniques) using internal and external datasets to support longevity and protection pricing
Develop analytics products and services for the pricing function
Work closely with Pricing and Basis Development teams to enhance data-driven decision making
Translate complex modelling outputs into clear, actionable insights for technical and non-technical audiences alike
Contribute to the predictive analytics roadmap and wider data strategy
Support a culture of analytical rigour across the pricing function, including training and upskilling colleagues
Scope to deputise for the team lead as the function grows
Requirements:
Qualified Actuary (or equivalent)
5+ years' experience in life insurance - this is a firm requirement
Strong background in predictive modelling: GLMs, GAMs, regression techniques
Proficiency in Python
Ability to communicate analytical results clearly to non-technical stakeholders
Nice to have:
Experience in experience analysis, biometrics, or pricing
Background in basis development or data pools
Consulting or project management exposure
Proactive mindset
comfortable challenging peers and managing upwards