Actuarial Pricing Analyst
Role Overview
Provide technical actuarial support for pricing recommendations in Bupa's UK Insurance business.
Work in the actuarial team responsible for pricing and analytics for one or more insurance products, with a focus on fair customer outcomes.
Key Skills for This Role
Full Job Posting
Role overview
Provide technical actuarial support for pricing recommendations in Bupa's UK Insurance business.
Work in the actuarial team responsible for pricing and analytics for one or more insurance products, with a focus on fair customer outcomes.
Responsibilities
- Analyze historical portfolio performance, identify trends and drivers, recommend pricing actions, and model their likely impact.
- Support development and pricing of new products and benefit features.
- Investigate conversion, retention, competitor pricing, complaints and decision-making, expenses, and long-term profitability by customer segment.
- Extract, refine, and enrich data; build models using advanced analytical techniques; interpret results and make recommendations.
- Document work in line with Technical Actuarial Standards and contribute to reports and presentations for senior stakeholders.
- Collaborate with teams across Sales, Finance, Customer Insights, Product and Proposition, Clinical Policy, Healthcare Analytics, and the Actuarial Technical Hub.
- Assess claims inflation and its impact on product performance and ensure pricing work is incorporated into reporting and planning.
Required skills and experience
- Experience in pricing in general insurance or health markets.
- Practical knowledge of some relevant models, including GLM or machine learning, econometrics such as price optimisation, or lifetime value modelling.
- Strong numerical and analytical skills demonstrated through previous experience.
- Strong communication skills, including explaining technical information to varied stakeholders.
- Advanced PC skills including Excel, Word, and PowerPoint.
- Experience with Snowflake and Power BI is essential.
Preferred experience and qualifications
- Experience with SAS, Emblem, and Radar is desirable.
- Python and/or R experience is an advantage.
- Good progression towards an IFoA qualification or equivalent is an advantage.
Pay
- Salary is £45,000–£56,100 per annum, dependent on experience.
Employment and hours
- Permanent, full-time role with 37.5 hours per week.
Work arrangement and locations
- Hybrid working with up to 3 days per week from home.
- Role may be based in Staines, London, or Manchester.
Benefits
- Benefits include healthcare, pension, 25 days' annual leave pro rata, wellbeing services, a fixed-term benefits allowance, employee assistance, and online discounts.
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