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The Pricing Manager will oversee a team of analysts to drive value through data insights in multi-product households, collaborating across departments to implement strategies that benefit customers.

The Risk Pricing Manager will develop and optimize pricing strategies for multicar and multiple product households, ensuring profit growth and effective risk assessment. Key responsibilities include enhancing pricing models, collaborating with cross-functional teams, and improving customer outcomes through data-driven insights.

The Microservices Developer will design, build, and maintain microservices-based applications, work with agile teams, and mentor junior developers while ensuring the deliverables meet business requirements.

Leads the end-to-end policy fraud portfolio, optimizing fraud controls, referral strategies, underwriting outcomes, and operational workflows. Owns performance against fraud, commercial, and customer measures; identifies control weaknesses and emerging threats; presents risks and opportunities to senior stakeholders; and delivers automation, change, and process-improvement initiatives that reduce losses, improve efficiency, minimize customer friction, and support sustainable insurance profitability.

Support insurance customers approaching policy renewal by handling inbound calls, understanding changes to their circumstances, fact-finding, and recommending suitable products and pricing. Provide accurate policy and quotation information, address objections, resolve queries, and deliver positive customer outcomes. The role includes 12 weeks of office-based training before transitioning to hybrid work.

Handle inbound calls from customers renewing insurance policies. Listen to queries, fact-find changes in circumstances, navigate internal systems, and recommend suitable products and pricing. Provide accurate policy and quotation information, address objections, and achieve positive customer outcomes through clear communication, questioning, and problem-solving. The role includes comprehensive office-based training before transitioning to hybrid work.

Design, build and deploy machine learning models and novel telematics-based features to predict claims, fraud and risk KPIs. Collaborate with ML Engineers to productionize and monitor models, present findings to commercial and operational stakeholders, and contribute to team best practices and technology exploration.

Build and maintain machine learning pipelines for market pricing, productionise Python models and data science workflows, and improve testing, deployment, monitoring, versioning, documentation, and governance. Investigate data, model, and pipeline issues; automate manual processes; and collaborate with Pricing, Data Science, Data Engineering, ML Engineering, and governance teams in a regulated environment.

Lead a large complaints operation across Retail Insurance and Claims, ensuring fair regulatory-compliant outcomes, improving operational performance, driving continuous improvement, and partnering with cross-functional teams to reduce complaint volumes and enhance customer experience.

Lead oversight and governance for complaints handled outside central function, ensuring fair, consistent outcomes across operations and suppliers. Provide independent review, supplier performance scrutiny, root-cause analysis, thematic reviews, and embed improvements. Ensure regulatory compliance with FCA DISP and Consumer Duty, influence senior stakeholders, and drive reductions in complaint volumes through quality assurance and operational change.