Description:
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:
- Plan, manage, and review technical claims cost models, securing buy-in and support from key stakeholders and ensuring that data used for analysis is accurate and well understood.
- Manage a reconciled process for rate series creation, and maintenance and deployment of models into live rates to ensure the business is priced in line with models.
- Consider the impact on customers of pricing actions and act to avoid any unfair treatment.
- Engage with internal and external stakeholders on portfolio analytics to enable quick response to emerging trends and improve account performance.
- Own pricing models including build, maintenance, and ongoing enhancements, taking models for approval pre-deployment, and the pricing quality control process.
- Hold retros following projects and evaluate and improve processes and capabilities accordingly.
- Deliver expected loss ratio reports and risk indices to other department stakeholders to inform them of aggregate impact of pricing activity.
- Coach, manage and develop team alongside building relationships with other divisions across Retail and wider AXA Group.
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:
- Higher education in a mathematics or computer science related discipline, with equivalent grades of 2:1 or higher, or evidence of equivalent proficiency.
- Advanced level knowledge of products such as Excel, Visual Basic, SAS, R, H2O, Python, SQL, Emblem and geographic analysis tools is essential.
- Detailed understanding of appropriate statistical techniques for insurance risk analysis and demand pricing.
- Ability to grasp the significance and meaning of a range of technical and complex issues relating to underwriting, claims handling, pricing, reserving and financial analysis of insurance.
- Proven ability to plan and prioritise own work and the work of others with a continuous appetite to learn and develop skills.
- Ability to work under pressure and to strict deadlines whilst maintaining reliability and accuracy.
- Demonstrating effective communications, influencing and strong relationship building skills both within and outside the immediate team.
- Previous experience in insurance pricing is desirable but not essential.