Overview

AXA Health – Royal Tunbridge Wells, England, United Kingdom

We’re seeking a Risk Modelling Analyst to join our Technical Pricing Team. You’ll apply risk modelling, artificial intelligence (AI) and machine learning techniques to analyse data and inform pricing and profitability decisions.

We’re using up-to-date pricing methods, including Generalised Linear Modelling (GLM) and Gradient Boosting Machines (GBM), to identify areas that could impact profitability and target market segments for portfolio growth within set profitability targets.

AXA supports flexible working arrangements. You’ll typically work at least two days a week (40%) away from home, with potential to move to three days a week (60%) in the future. Away from home includes office attendance, client visits or industry events.

What you’ll bring and how you’ll work with the team will be discussed with Talent Acquisition.

Responsibilities

• Gather and interrogate data and management information (MI) to evaluate business profitability.
• Work with a variety of data sources to investigate emerging trends, risks and opportunities.
• Evaluate the impact of strategic and tactical initiatives on business performance.
• Use the latest machine learning techniques and models to develop an in-depth understanding of risks and dependencies.
• Run GLM and GBM on data from internal and external sources to analyse interactions between elements of risk within portfolios.
• Review, analyse and propose pricing recommendations across varied AXA Health portfolios.
• Deliver high-quality reports with recommendations for both technical and non-technical audiences to drive business strategy.
• Collaborate with colleagues across AXA Health, including senior managers.

What you’ll bring

• Demonstrable experience in a similar role or a relevant graduate scheme.
• Strong technical skills, especially in MS Excel, including data analysis and visualisation.
• Ability to clearly present findings from analyses and tell stories for a non-technical audience.
• Extensive experience in risk modelling tools such as RADAR, AKUR8 or other ML platforms is essential.
• Numerical and analytical approach with commercial awareness and profitability understanding.
• Experience of SAS Enterprise Guide, Power BI, VBA, SQL and Python.
• Knowledge or experience of risk modelling, GLM and GBM tools.
• Graduate in a numerate subject (e.g., mathematics, mathematics with actuarial studies, mathematics with finance or economics) – preferred but not essential.

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

This position is defined as an Insurance Distribution Directive (IDD) role under the IDD regime and will involve background screening every 4 years with an annual interim declaration.

What we offer

At AXA UK, rewards are reviewed regularly. You can expect to receive:

• Competitive annual salary dependent on experience
• Annual company and performance-based bonus
• Contributory pension scheme (up to 12% employer contributions)
• Life assurance (up to 10 x annual salary)
• Private health cover
• 25 days annual leave plus Bank Holidays
• Option to buy up to 5 extra days or sell up to 5 days
• AXA employee discounts
• Wellbeing services and resources

To apply, click on the ‘apply for this job’ button, log in or create a profile to submit your CV.

We’re proud to be an Equal Opportunities Employer and don’t discriminate based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we offer AXA Accessibility Concierge support. For assistance, please email neil.birkettl@axa-uk.co.uk.

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Who we are: At AXA Health, we help our members be the best version of themselves by providing access to health and wellbeing support for mind and body. We’re transforming our business by developing easy, efficient, digital experiences for our customers. We’re a collective of specialists passionate about helping our members flourish, whether that’s individuals and families, small businesses or large corporates.