Senior Pricing Analyst

Ageas; Eastleigh; Hybrid; GBP 40,000 - 50,000; Full time

Job summary

Ageas is seeking a Senior Pricing Analyst to shape pricing strategy through advanced analytics and actuarial insight. You will influence pricing decisions that drive growth, profitability and customer outcomes, while improving conversion, retention and achieving target loss ratios.

In this hybrid role, you will collaborate across teams to deploy pricing models into live environments and stay ahead of market trends with robust analysis and recommendations.

Qualifications

• 2-3 years experience in pricing.
• Knowledge of insurance products and distribution channels (e.g. direct, intermediary, aggregators).
• Proven ability to explore, validate, and analyse large datasets to generate insight.
• Strong programming skills (SAS, R, Python) and experience with statistical or actuarial tools.
• Experience using Emblem and Radar (or similar pricing software).
• Understanding of predictive modelling techniques such as GLMs, GBMs, Random Forests or Neural Networks.
• A highly analytical mindset with strong attention to detail and a passion for problem-solving.

Responsibilities

• Design, develop and enhance predictive and machine learning models to inform pricing strategy.
• Extract, manipulate and analyse large datasets to support modelling, pricing and performance monitoring.
• Build and maintain robust pricing models, supporting their deployment into live environments.
• Deliver high-quality pricing analysis, presenting clear, actionable recommendations to senior stakeholders.
• Support and oversee rate releases, ensuring accuracy and effectiveness in live pricing environments.
• Combine MI, modelling outputs and commercial targets to develop a balanced view of pricing performance.
• Take ownership across the end-to-end price control cycle, from development to implementation.
• Collaborate across teams to ensure pricing decisions are aligned, well-documented and effectively delivered.
• Stay ahead of market trends and competitor activity, identifying risks and opportunities.

Skills

Pricing experience

Data analysis

Programming skills

SAS/R/Python

Emblem/Radar

Predictive modelling

Attention to detail

Tools

SAS

R

Python

Emblem

Radar

Job description

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, Eastleigh / London, once a month
Work Level: 3
Closing Date for applications: Thursday 18th June
Hiring Manager: Emily Walke

Senior Pricing Analyst:As a Senior Pricing Analyst at Ageas, you’ll play a pivotal role in shaping pricing strategy through advanced analytics and actuarial insight. Your work won’t just sit in reports - it will directly influence pricing decisions that drive growth, profitability and customer outcomes.
From improving conversion and retention to achieving target loss ratios, your insight will have a visible and immediate impact on the success of the business.

Main Responsibilities:

• Design, develop and enhance predictive and machine learning models to inform pricing strategy.
• Extract, manipulate and analyse large datasets to support modelling, pricing and performance monitoring.
• Build and maintain robust pricing models, supporting their deployment into live environments.
• Deliver high-quality pricing analysis, presenting clear, actionable recommendations to senior stakeholders.
• Support and oversee rate releases, ensuring accuracy and effectiveness in live pricing environments.
• Combine MI, modelling outputs and commercial targets to develop a balanced view of pricing performance.
• Take ownership across the end-to-end price control cycle, from development to implementation.
• Collaborate across teams to ensure pricing decisions are aligned, well-documented and effectively delivered.
• Stay ahead of market trends and competitor activity, identifying risks and opportunities.

Skills and experience:

• 2-3 years experience in pricing.
• Knowledge of insurance products and distribution channels (e.g. direct, intermediary, aggregators), ideally in household.
• Proven ability to explore, validate, and analyse large datasets to generate insight.
• Strong programming skills (e.g. SAS, R, Python) and experience with statistical or actuarial tools.
• Experience using Emblem and Radar (or similar pricing software).
• Understanding of predictive modelling techniques such as GLMs, GBMs, Random Forests or Neural Networks.
• A highly analytical mindset with strong attention to detail and a passion for problem-solving.