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Lead Pricing Analyst - Strategic
Job in
City of Westminster, Central London, Greater London, England, UK
Listed on 2026-01-07
Listing for:
Ageas Insurance Limited
Contract
position Listed on 2026-01-07
Job specializations:
-
Finance & Banking
Risk Manager/Analyst, Data Scientist
Job Description & How to Apply Below
Job Title:
Lead Pricing Analyst
- Strategic
Start Date:
ASAP
Contract Type: FTC
Salary Range:
Circa £70,000
Location:
Any UK Ageas office, hybrid
- Predictive Model Development:
Lead the creation, validation, and review of predictive models, including machine learning models, and recommend their use in risk pricing. - Data Accuracy:
Ensure the accuracy and appropriateness of data used for modelling, pricing, and monitoring. - Data Assessment:
Evaluate new internal and external data to enhance risk pricing, build cost-benefit analyses, and present findings to stakeholders. Collaborate with pricing and implementation teams to deploy new data. - Tender Support:
Provide risk pricing support for tender responses, working closely with Distribution and Underwriting teams. - Pricing Analysis:
Conduct and lead pricing analyses, prepare options for senior stakeholders, and clearly present findings to gain their buy‑in. Coordinate rate deployment as needed. - Monitoring Dashboards:
Develop and lead the creation of monitoring dashboards that meet business needs. - Project Management:
Execute, develop, and manage projects across all stages of the price control cycle. - Team Influence:
Inform and influence peers within the team and across Ageas. - Strategic Initiatives:
Work with underwriting and pricing teams to deliver on strategic initiatives. - Market Trends:
Identify and monitor market trends that could impact the pricing and underwriting of products.
- A good quantitative degree in Statistics, Mathematics or Actuarial Science.
- Experience in a relevant role in a data‑driven environment.
- Knowledge of Home insurance products is essential.
- Experience of using statistics to explore, validate data, extract and manipulate large datasets for analysis.
- Experienced in the use of a programming language (SAS, R, Python) and/or statistical packages.
- Experience in some of the following predictive modelling techniques e.g. Logistic Regression, Log‑Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets.
- Flexible Working – Smart Working gives employees flexibility around location (within the UK) and the working day, supporting work‑life balance.
- Supporting your Health – Dental Insurance, Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well‑Being Activities including yoga and mindfulness.
- Supporting your Wealth – Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
- Supporting you at Work – Well‑being activities, yoga, mindfulness sessions, Sports and Social Club events and more.
- Supporting you and your Family – Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non‑pregnant parent/adopter at 8 weeks’ full pay.
We are one of the largest car and home insurers in the UK, serving over four million customers. As an inclusive employer, we encourage anyone to apply. We are a signatory of the Race at Work Charter and Women in Finance Charter, member of iCAN and GAIN. As a Disability Confident Leader, we ensure our recruitment processes are fully inclusive, offering fair access to support and adjustments throughout recruitment.
If the support you need is not listed, please contact our Recruitment Team to discuss how they can help.
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