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# Technical Pricing Analyst

- **Company:** AXA UK plc
- **Location:** Royal Tunbridge Wells, UK
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Customer Data Management, Python (Programming Language), Feature Engineering, Data Analytics
- **Published:** July 15, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=3276abc6b971a04c

## About the Role

* Experience processing, manipulating, and analysing large data sets with knowledge of at least one coding language e.g. Python.
 * Experience with modelling techniques.
 * Experience of using Radar software would be an advantage.
 * Higher education (2:1 or higher) in a mathematics or other numerical discipline.
 * Awareness of the regulatory environment in which the business operates and understanding of the dynamics of large organisations.
 * 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.

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

## Description

We are seeking a Technical Pricing Analyst, to build and evolve risk models to continually improve the predictiveness of claims across Individual, SME and Corporate portfolios. You will be using both traditional and emerging data science techniques, enabling more accurate pricing. In addition, you will carry out analysis of risk mix, claims trends, inflation and new treatment costs to facilitate alignment with the Reserving and Claims Analytics teams. You'll be monitoring model performance and share insights with key stakeholders., * Build, maintain and enhance pricing risk models using latest data science techniques including GBM's, in line with agreed timelines.

 * Carry out analysis of risk mix, claims trends, inflation and new treatment costs to inform business decisions and 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.
 * Extract data from internal and external sources and run checks for quality assessment.
 * Test agreed new data sources including internal customer data and external data, factors and feature engineering to enhance model predictiveness.
 * Carry out ad hoc claims analyses as required

Work arrangements:

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%) in the future. Away from home means attending the office, visiting clients or attending industry events.


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