Home Pricing Manager

Leciester (Hybrid) | £65,000 to 80,000 + Bonus + Car Allowance

This is an excellent opportunity to join a data-driven insurance business that has invested heavily in pricing, analytics, and technology. You'll play a pivotal role in shaping risk pricing strategy for a major home insurance portfolio while leading a small team and driving commercially impactful decisions through data.

They are a well-established UK insurance organisation with a strong focus on data, analytics, and innovation. Their pricing function sits at the heart of business performance, partnering closely with actuarial, underwriting, data science, and commercial teams. They foster a collaborative culture that values curiosity, continuous improvement, and evidence-based decision making. This is an environment where you can influence strategy, challenge established thinking, and see the direct impact of your work.

You will lead a team responsible for improving risk pricing performance across a home insurance portfolio.

Responsibilities include:

• Managing and prioritising team workloads to support profit and growth objectives.
• Analysing policy, quote, claims, loss, and market data to identify pricing opportunities.
• Developing new insights through the use of data, analytics, and innovative methodologies.
• Reviewing and challenging predictive models developed by actuarial and data science teams.
• Determining how model outputs should be combined within pricing algorithms to maximise commercial performance.
• Identifying customer segments where pricing strategies can be enhanced.
• Building and maintaining automated tools that generate new pricing opportunities.
• Partnering with underwriting, actuarial, data science, data engineering, fraud, and commercial stakeholders.
• Representing the pricing function on wider business and underwriting initiatives.
• Coaching, mentoring, and supporting analysts within the team.

• Strong experience within insurance pricing, risk analytics, or a related commercial analytics function.
• Knowledge of general insurance principles and risk management concepts.
• Strong coding and analytical capability, with Python experience preferred.
• Ability to work with large, complex datasets and derive actionable business insights.
• Experience evaluating statistical or predictive models and translating outputs into commercial recommendations.
• Strong stakeholder management and communication skills.
• Curious, proactive approach with a genuine interest in driving change and continuous improvement.
• Experience leading or mentoring analysts and supporting team development.

• Hybrid and flexible working arrangements.
• Private medical insurance.
• Matched pension contributions.
• Life assurance and income protection.
• Extensive wellbeing support and healthcare benefits.
• Generous annual leave allowance with purchase and sell options.
• Clear opportunities for career growth within a highly respected pricing and analytics function.