At a Glance
- Tasks: Build and enhance risk models using data science techniques to improve insurance pricing.
- Company: Join AXA, a global leader in insurance and financial services.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Supportive environment with opportunities to mentor junior analysts and develop your career.
- Why this job: Make a real impact on pricing strategies while working with innovative data science methods.
- Qualifications: Experience with claims data, strong programming skills, and knowledge of actuarial techniques.
The predicted salary is between 47250 - 57750 £ per year.
About AXA: 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.
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%) in the future.
Away from home means attending the office, visiting clients or attending industry events.
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 Experience of Databricks and Power BI would be an advantage.
Knowledge of actuarial techniques, e. g. reserving.
Awareness of the regulatory environment in which the business operates and understanding of the dynamics of large organisations.
If you have a long-term condition or disability and require adjustments during the application or interview process, we're proud to offer access to the AXA Accessibility Concierge. cussons@axa-uk. co. uk.#LI-Hybrid #Health
Locations
Technical Pricing Analyst - Insurance in Kent, Royal Tunbridge Wells employer: AXA Group
AXA XL in London is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the insurance sector. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a strong emphasis on work-life balance, making it an ideal environment for those looking to advance their careers in underwriting while enjoying the vibrant atmosphere of London.
