Senior Pricing Analyst

Ageas; United Kingdom; Hybrid; GBP 40,000 - 50,000; Full time

Job summary

A leading insurance company is seeking a Senior Pricing Analyst to drive pricing strategy using advanced analytics in a hybrid role located in London. Responsibilities include developing predictive models, monitoring pricing strategies, and providing insights to improve commercial outcomes. The ideal candidate will have a degree in a numerical discipline and significant experience in insurance pricing methods, with proficiency in analytical programming. This position supports flexible working options while contributing to market-leading pricing capabilities.

Qualifications

• Degree-level education in a numerical discipline with solid statistical and analytical foundations.
• Experience in insurance pricing or related analytics field.
• Hands-on experience with GLMs, predictive modelling, and price optimisation.

Responsibilities

• Analyse and monitor business data to identify market trends using advanced analytics.
• Translate market insight into pricing recommendations.
• Develop, validate, and deploy predictive pricing models into rating systems.

Skills

Statistical analysis

Predictive modelling

Machine learning techniques

Analytical programming (SAS, R, Python, SQL)

Education

Degree in a numerical discipline

Tools

Radar

Emblem

Job description

Job Overview

Job Title: Senior Pricing Analyst

Target Start Date: ASAP

Contract Type: Permanent, Part Time, Full Time, Job Share option available

Salary Range: £40,000 - £50,000

Location: Hybrid - London, once a month

Work Level: 3

Closing Date for applications: Tuesday 27th January

Hiring Manager: Cathy Kong

Senior Pricing Analyst

We are looking for an experienced Senior Pricing Analyst who understands what makes retail pricing and commercial success work in Personal Lines insurance. You’ll be using sophisticated statistical techniques to introduce innovative approaches to create value. You will also work closely with Pricing Managers to develop and implement complex solutions that improve pricing capabilities and help shape the strategic direction of the market pricing team and the wider Ageas UK Group.

Main Responsibilities

• Analyse, interpret, and monitor business data to identify market trends, product opportunities, and key rating factors, using advanced analytics and machine learning techniques to deliver actionable insights.
• Translate advanced modelling and market insight into commercially impactful pricing recommendations, providing thought leadership to drive business performance.
• Develop, validate, maintain, and deploy predictive and machine learning pricing models into rating systems (e.g. Radar), ensuring high quality datasets for modelling, pricing, and monitoring.
• Review live rates, coordinate pricing decisions across teams, monitor the impact of pricing changes post implementation, and ensure compliance with pricing fairness and data usage policies.
• Provide subject matter expertise on strategic initiatives, represent pricing in senior forums as required, and manage, develop, and coach Pricing Analysts to support capability and talent growth.

Skills and Experience

• Degree-level education in a numerical discipline with solid statistical and analytical foundations, plus experience in insurance pricing or a related analytics field.
• In-depth knowledge of General Insurance pricing methodologies, regulatory requirements, and the application of analytics to solve complex business problems.
• Hands-on experience with core techniques such as GLMs, predictive modelling, and price optimisation, with exposure to advanced methods (e.g. GBMs, GAMs, neural networks, SVMs).
• Skilled in analytical programming languages (e.g. SAS, R, Python, SQL) and familiar with pricing and modelling tools such as Emblem, Radar, or similar platforms.
• Proven ability to coach junior staff, influence senior stakeholders, communicate complex insights clearly to non-technical audiences, and work proactively with strong organisational and problem solving skills.

To find out more about this role and for information please contact Zoe Powell OR Cathy Kong.

Alternatively, click on the “Apply Button” to be considered.