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Senior Household Pricihng Analyst

Ageas

Salary From:

£50,000.00

Permanent

Multiple Locations

At Ageas, we’re looking for a forward-thinking Lead Pricing Analyst to join our Strategic Pricing team. If you thrive on turning complex data into actionable insights, enjoy leading high-impact projects, and want to shape the future of insurance pricing, this is your opportunity to make a real difference. As a Lead Pricing Analyst, you’ll be at the forefront of our pricing strategy, using advanced actuarial and statistical techniques to drive business performance. Your work will directly influence key metrics like conversion, retention, and loss ratios - fuelling growth and profitability across the business. We’re seeking a confident, analytical leader who can translate complex data into clear, actionable strategies. You’ll bring a blend of technical expertise, commercial awareness, and collaborative spirit to the role.

  • Predictive Modelling: Lead the development and validation of cutting-edge models, including machine learning, to support risk pricing decisions. 

  • Data Integrity: Ensure the accuracy and relevance of data used in modelling, pricing, and performance monitoring. 

  • Strategic Pricing Analysis: Deliver insightful pricing analyses and present compelling options to senior stakeholders. 

  • Dashboard Creation: Build and maintain intuitive dashboards that support business decision-making. 

  • Data Evaluation: Assess new internal and external data sources, presenting cost-benefit analyses to enhance pricing accuracy. 

  • Project Leadership: Manage end-to-end pricing projects across the full control cycle. 

  • Cross-Functional Collaboration: Partner with Underwriting, Distribution, and other teams to deliver strategic initiatives. 

  • Market Intelligence: Monitor industry trends and translate insights into pricing opportunities. 

  • Tender Support: Provide expert risk pricing input for tender responses.

  • A degree in Statistics, Mathematics, Actuarial Science. 

  • Proven experience in a data-rich, analytical environment within insurance. 

  • Proficiency in statistical tools and programming languages (SAS, R, Python). 

  • Hands-on experience with predictive modelling tools Emblem and Radar. 

  • Ability to communicate complex ideas to non-technical audiences. 

  • Leadership experience with a track record of developing junior analysts.

analytical, collaborative, emblem, leadership, pricing analysis, python, radar

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