Principal Pricing Analyst

Manchester
2 months ago
Applications closed

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Principal Pricing Analyst - Insurance, Manchester based role, hybrid working 2-3 days
£Competitive Salary & package
Job Reference - J13045

Please note: Applicants must have full eligibility to work in the UK. Unfortunately, visa sponsorship is not available for this role.

Shape the Future of Pricing Strategy
Our client is in the midst of an exciting transformation. Their Pricing & Analytics team is expanding rapidly as they invest in cutting-edge tools, technology, and top-tier talent. They're breaking away from traditional pricing approaches and building innovative, data-driven models from the ground up.

This is a rare opportunity to join a leading UK employer at a pivotal moment- where you can make a real impact, help define strategy, and play a key role in shaping the future of pricing.

The Role
As a senior member of the team, you'll take ownership of high-profile pricing projects that drive customer value, optimise risk, and deliver sustainable profitability. You'll be a trusted advisor to the business- guiding pricing strategy, mentoring Analysts, and ensuring commercial success is balanced with fair and positive customer outcomes.

What You'll Do
• Lead the end-to-end delivery of high-impact pricing and optimisation initiatives
• Use advanced modelling and scenario analysis to assess customer responses to price changes
• Identify opportunities to improve customer lifetime value and retention
• Track competitor activity and market trends to shape strategic direction
• Champion fair value in all pricing decisions, particularly for existing customers
• Drive improvements in data quality, processes, and trading performance
• Build strong, influential relationships across teams and with senior leadership

What We're Looking For
• Substantial experience in insurance pricing, ideally in a senior or leadership capacity
• Strong numerical and analytical background (degree-level or equivalent quantitative expertise)
• Proven expertise in predictive modelling for risk and/or demand
• A track record of solving complex problems and taking initiative
• Experience leading or coordinating project teams
• Proficiency with analytical tools such as Python, SQL, R, or SAS (desirable)
• Knowledge of machine learning techniques and statistical methods used in insurance

We may close this advert early due to high interest-if you're keen to join us, please apply soon

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