Pricing (Analytics) Actuary - EXCLUSIVE TO EAMES

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.

The Role

• 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

Essential:

• 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

Highly relevant:

• 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

If this sounds like the next step in your career, make sure you apply or reach out to have a further conversation.

Beatriz.araoz@eamesconsulting.com