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Contact Information:
Darren Rossiter
Ageas Insurance
Ageas House
Gloucester Business Park
The Square
Brockworth
Gloucester
GL3 4AD

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Lead Pricing Analyst - Home

United Kingdom

Contract Type: FTC – until June 2026
Location: Any Ageas UK Office

Lead Pricing Analyst - Home:

The Lead Home Pricing Analyst will lead the assessment of external and geospatial data to enhance our Home risk pricing models to drive long-term profitable growth.

This role involves researching and identifying gaps in our use of external and geospatial data, liaising with external data suppliers, collaborating with internal legal and compliance teams, producing models to assess the value of external data and completing cost benefit analysis to make purchasing

recommendations to the business.
The Lead Analyst will also work on other Home pricing projects to deliver Ageas’ long-term strategic goals.

Main Responsibilities as Lead Pricing Analyst - Home:

Research & Identify Suitable External Data: Conduct independent research of available external and geospatial data that can be used to enhance Home risk pricing models.

Liaison & Stakeholder Management: Liaise with external suppliers to assess external data and keeping internal stakeholders informed throughout the process. Work with procurement teams to purchase data.

Data Assessment: Build an efficient and repeatable process to assess data using appropriate GLM and machine learning techniques. This involves engineering new features from raw data and building appropriate models to demonstrate uplift from new data.

Cost Benefit Analysis: Complete cost benefit analyses to demonstrate whether new data adds value and making purchasing recommendations to the business.

Develop Geospatial Capabilities: Develop geospatial capabilities to enhance Home risk models, underwriting capabilities, monitoring and reporting.

Pricing Analysis: Conduct and lead pricing analyses, prepare options for senior stakeholders, and clearly present findings to gain their buy-in.

Skills and experience you need as Lead Pricing Analyst - Home:

A good quantitative degree, e.g. 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 and validate data, extract and manipulate large datasets for analysis.
Experienced in the use of a programming language (e.g. SAS, R, Python) and/or statistical packages e.g. actuarial pricing software.
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.

For further information or to be considered for this opportunity please click on the Apply Now Button.