Pricing Models Analyst in Manchester

It’s an exciting time in our Pricing and Analytics department. Our transformation programme has recently been relaunched, aligned to AXA Retail's new Pricing and Analytics strategy. We’re investing in growing in size and capability across our IT systems, analytical toolset and learning and development. We’d love to hear from motivated people who can help us deliver our commitments to our business, our customers, and our people.

We’re looking for an Analyst to work within AXA Retail, to support projects across Motor or Home that continually improve productiveness and segmentation of statistical models of claims and demand across products and channels, using both traditional and data science/contemporary techniques. 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 either attendance at one of our office locations, visiting clients or attending industry events. We’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.

What you’ll be doing:

• Create, validate and reconcile datasets for analysis and undertake analysis by writing and manipulating code.
• Support in the creation, maintenance and deployment of rating models that predict claims cost, conversion and retention.
• Contribute to the specification, development and testing cycles for deployment of rates.
• Consider the impact on customers of pricing actions and act to avoid any unfair treatment.
• Assist in producing and developing appropriate monitoring for pricing and other stakeholders.
• Provide technical and pricing support to assist the business in achieving its plans.
• Build strong relationships with managers, peers and stakeholders.

Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we’re able to effectively manage interest. Therefore, if you’re interested in joining us at AXA, please don’t hesitate to apply.

What you’ll bring:

• Excellent numerical and mathematical skills with a numerate degree.
• Experience in a related Insurance Pricing role.
• Demonstrable high levels problem-solving skills and initiative whilst working to strict deadlines.
• Effective communication skills to help establish a network within AXA.
• An understanding of machine learning techniques is desirable.
• An awareness of appropriate statistical techniques for insurance analysis.
• Knowledge of tools such as Python, R, SAS, SQL or other analytical language/tools is desirable.

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

What we offer:

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

To apply, click on the ‘apply for this job’ button, you’ll then need to log in or create a profile to submit your CV. We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. 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.

Who we are:

AXA Retail helps people live the life they love, knowing we’ve got their back, at home and on the road. Our people are vital to us becoming more digital, faster and easier to access. We’re a dynamic team of experts completely committed to making sure our customers ‘get back to the good stuff’ when the unexpected happens.