Pricing Manager - Technical Modelling Team

Join a leading UK insurer's Technical Modelling Team as a Pricing Manager, delivering key strategic pricing objectives across motor and home insurance products. This is a genuinely flexible hybrid role requiring only 1-2 days per month in the office, offering exceptional work-life balance while leading a team of pricing specialists and implementing advanced modelling and rating strategies that drive loss ratio improvement, risk selection, and business growth.

You'll collaborate with senior stakeholders to strengthen pricing capabilities through best-practice methodologies, governance frameworks, and robust controls, while leveraging internal and external datasets (including broker-specific data) to enhance predictive models and support profit objectives.

Key Responsibilities

• Work with senior stakeholders to implement modelling and rating changes that enhance loss ratio, risk selection, and business growth across motor and home portfolios, representing Pricing as subject matter expert in key forums and translating complex technical information for non-technical audiences
• Lead and develop a diverse team of pricing specialists within the Technical Pricing Department, ensuring capability progression, alignment with company values, and fostering a culture of continuous improvement and agility
• Establish and maintain best-practice pricing methodologies, governance frameworks, and robust controls while leveraging internal and external datasets to enhance predictive pricing models and support strategic profit and growth objectives
• Maintain expertise in Pricing and Data Science tools (WTW Radar, SQL, Python, Databricks) while staying current with market and technological trends to drive innovation and optimise pricing infrastructure across the business

Qualifications:

• Expert understanding of predictive modelling and machine learning techniques for technical rating in motor and home insurance, with excellent numerical and analytical skills, strong attention to detail, and exceptional critical thinking ability
• Self-motivated leader with proven ability to manage, develop, and support teams while remaining effective under pressure, building strong interpersonal relationships across functions, and collaborating confidently with senior stakeholders
• Minimum 2:1 bachelor's degree (or equivalent) in a numerical discipline with commitment to continuous learning in analytics, data science, AI, and emerging technologies; project management skills advantageous