Senior Technical Pricing Analyst

• Significant experience working with claims data and applying appropriate modelling techniques, gained within the insurance industry.
• Strong programming skills in at least one language, e.g. Python
• Experience using Radar software or other similar tools, e.g. Earnix
• Higher education (equivalent grades of 2:1 or higher) in a mathematics or other numerical discipline.
• Knowledge of actuarial techniques, e.g. reserving.
• Outstanding communication skills and ability to grasp and explain a range of technical concepts to all business stakeholders.
• Solution focused, with a strong focus on delivery, and desire for continuous improvement.
• Self-motivated with a can-do attitude, valuing the contribution of others and understanding the need for collaboration.
• Awareness of the regulatory environment in which the business operates and understanding of the dynamics of large organisations.

As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.

• Experience of Databricks and Power BI would be an advantage.

We are seeking a Senior Technical Pricing Analyst, to build and evolve risk models to continually improve the predictiveness of claims across Individual, SME and Corporate portfolios. You'll be using both traditional and emerging data science techniques, enabling more accurate pricing. In addition, you'll be leading pricing projects associated with the analysis of risk mix, claims trends, inflation and new treatment costs to facilitate alignment with the Reserving and Claims Analytics teams. As a Senior, you'll be acting as a role model to junior colleagues and helping to establish and maintain best practice.

• Build, maintain and enhance pricing risk models using latest data science techniques including GBM's, in line with agreed timelines.
• Lead analysis of risk mix, claims trends, inflation and new treatment costs to facilitate alignment with the Reserving and Claims Analytics teams.
• Contribute to documentation for taking models for approval pre-deployment.
• Report on agreed model performance KPI's at appropriate frequency.
• Ensure modelling data meets required quality criteria, highlighting gaps and proposing solutions.
• Test agreed new data sources including internal customer data and external data, factors and feature engineering to enhance model predictiveness.
• Support more junior analysts in model building, analysis and data work.

At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) from December 2026. Away from home means attending the office, visiting clients or attending industry events.

AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance. We support millions of customers worldwide, helping them navigate life's uncertainties with confidence.

AXA Health supports members to put their health first, from individuals to huge corporates, with fast access to diagnosis and treatment when they need it.