Pricing Manager

Pricing Manager

Location: London

Working pattern: Hybrid / Remote – typically just one office day per month (Negotiable)

About the Opportunity

An exciting opportunity has arisen to join the Pricing function of a growing UK insurance business as a Pricing Manager.

This is a high-impact role for an experienced pricing professional who can combine strong technical expertise with commercial insight. The successful candidate will play a key role in shaping and evolving pricing strategy across a UK personal lines insurance portfolio, using market intelligence, pricing optimisation and loss ratio analysis to identify opportunities and deliver actionable recommendations.

Working closely with the Head of Pricing, the Pricing Manager will build strong relationships across departments helping to ensure pricing decisions are commercially effective, data-driven and aligned with the wider business strategy.

Key Responsibilities

• Lead the development and refinement of pricing strategy, providing technical leadership and guidance to the wider pricing team.
• Own market pricing activity, including the development and enhancement of demand, elasticity and market pricing models.
• Develop and maintain the pricing optimisation framework.
• Provide input into the development and management of lifetime value modelling, multi-year price optimisation and associated strategic approaches.
• Monitor market trends and competitor pricing, translating market intelligence into clear and commercially relevant rate recommendations.
• Build strong relationships with Marketing and other commercial stakeholders, ensuring the business has a clear understanding of its competitive position and conversion performance.
• Represent Pricing in trading meetings where required, providing insight and recommendations on trading performance and proposed pricing changes.

Role Requirements

• Experience as a Pricing Manager, or as a Senior Pricing Analyst with the technical expertise and ambition to take the next step.
• Strong commercial experience in a pricing environment, ideally within direct or aggregator-led personal lines insurance.
• Strong expertise in predictive modelling and price optimisation, with exposure to emerging techniques including machine learning and AI.
• A good understanding of current technical developments and best practice in insurance pricing and actuarial methods.
• Experience using pricing tools, systems and programming languages such as Python, SQL, Earnix, Radar, or equivalent platforms.
• A degree-level qualification, or equivalent experience, in Mathematics, Science, Engineering or a related quantitative discipline.