Senior Pricing Analyst

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.