Head of Pricing Analytics

We are partnering with a growing, forward-thinking insurance business operating within the US P&C and E&S market.

This is a high-impact leadership opportunity to shape how a specialist insurer approaches pricing, underwriting analytics, risk selection and portfolio performance.

You will have significant influence over pricing strategy, analytical innovation and the development of tools and insights that support underwriting decisions. This is not simply a traditional pricing or actuarial leadership position. The successful candidate will combine technical expertise, advanced analytics and commercial judgement to build a modern, data-driven pricing function.

Key Responsibilities

Pricing Strategy & Commercial Performance

• Lead the development and execution of pricing strategies across existing and emerging specialty insurance products.
• Develop sophisticated pricing methodologies that reflect underlying risk characteristics, market dynamics and commercial objectives.
• Evaluate portfolio profitability, loss performance, pricing adequacy and emerging underwriting trends.
• Partner with underwriting leadership to identify opportunities to improve risk selection, pricing discipline and portfolio performance.
• Develop analytical frameworks to evaluate pricing effectiveness and support strategic business decisions.
• Monitor competitor pricing, market conditions and underwriting trends to identify opportunities for profitable growth.
• Challenge conventional pricing methodologies and introduce innovative approaches to evaluating and quantifying risk.

Advanced Analytics & Data Science

• Build and develop the business's pricing analytics capabilities, incorporating statistical modelling, predictive analytics and advanced data techniques.
• Lead the development of analytical models that support risk segmentation, pricing optimisation and underwriting decision-making.
• Apply techniques such as regression modelling, machine learning and predictive analytics where appropriate to improve pricing sophistication.
• Leverage internal and external datasets to identify emerging risk patterns, portfolio trends and opportunities for competitive differentiation.
• Develop analytical frameworks to evaluate loss ratios, exposure trends, underwriting profitability and portfolio performance.
• Explore opportunities to incorporate alternative data sources and emerging analytical technologies into pricing and underwriting processes.
• Translate complex analytical findings into commercially relevant recommendations for underwriting and executive leadership.

Pricing Infrastructure & Technology

• Lead the development and enhancement of pricing tools, analytical platforms and underwriting decision-support capabilities.
• Partner with Data, Technology and Underwriting teams to improve the quality, accessibility and practical application of pricing data.
• Develop scalable pricing models and analytical processes that support consistent and informed underwriting decisions.
• Introduce monitoring capabilities, performance dashboards and analytical reporting to evaluate pricing outcomes.
• Identify opportunities to automate manual analytical processes and improve the efficiency and consistency of pricing decisions.
• Ensure pricing methodologies and analytical frameworks remain robust, transparent and appropriately governed.

Leadership & Strategic Collaboration

• Build, lead and develop a high-performing team spanning pricing, quantitative analytics and modelling.
• Establish analytical standards, modelling frameworks and best practices across the pricing function.
• Act as a strategic partner to the Chief Underwriting Officer and senior business leaders.
• Communicate complex technical findings clearly, influencing decisions at executive level.
• Promote a culture of analytical curiosity, commercial thinking and continuous improvement.
• Prioritise and deliver strategic initiatives across Pricing, Underwriting, Data and Technology.
• Ensure pricing activities and analytical processes comply with relevant regulatory and governance requirements.

Experience & Background

• Significant experience in insurance pricing, advanced analytics, predictive modelling or a related quantitative discipline.
• Experience within Property & Casualty insurance, ideally involving specialty or E&S lines.
• Strong knowledge of pricing methodologies, risk segmentation, underwriting performance and portfolio profitability.
• Experience working with complex datasets and translating analytical findings into business decisions.
• A strong understanding of statistical modelling, predictive analytics and quantitative techniques.
• Exposure to modern analytical tools and technologies, potentially including Python, R, SQL or comparable platforms.
• Experience developing pricing models, analytical frameworks or decision-support tools.
• An ability to connect technical analysis with broader commercial and underwriting strategy.
• Experience leading and developing analytical or pricing teams.
• Strong communication skills and the confidence to challenge and influence senior leadership.
• A degree in Mathematics, Statistics, Actuarial Science, Economics, Engineering, Finance or another quantitative discipline.