Senior Insurance Pricing Analyst

About the role

We’re looking for an Insurance Pricing Analyst to join our Financial Services team and play a key role in shaping pricing strategies for our insurance products. This is a fantastic opportunity to use your analytical skills to influence decisions that balance commercial performance with fair outcomes for customers.

You’ll work with data, models, and stakeholders across the business to ensure our pricing is competitive, compliant, and commercially effective. Your insights will help us optimise performance and deliver value for both customers and the business.

What you will be doing

• Support the development, monitoring, and refinement of pricing strategies for insurance products through data analysis and modelling.
• Build and maintain pricing models using tools such as Python, SAS, or Excel.
• Analyse customer, claims, and market data to identify trends and pricing opportunities.
• Contribute to insurance reporting, ensuring stakeholders understand product performance and customer outcomes.
• Collaborate with product managers, underwriters, and finance teams to align pricing with commercial and regulatory objectives.
• Assist in testing and implementing pricing changes, ensuring accuracy and compliance with internal controls.
• Track and analyse the impact of pricing decisions to support continuous improvement.
• Deliver clear, well-documented analytical outputs for both technical and non-technical audiences.
• Support ad-hoc analysis and contribute to the improvement of tools, processes, and governance across the pricing function

About you

Essential:

• Experience in an analytical role, ideally within financial services or insurance.
• Strong data analysis skills with proficiency in Excel and tools such as SAS, Python, R, or SQL.
• Understanding of pricing concepts and commercial drivers in insurance.
• Excellent attention to detail and ability to turn data into actionable insights.
• Strong communication skills, able to explain complex analysis clearly.
• Ability to manage multiple priorities in a fast-paced environment.

Desirable:

• Experience with insurance products, claims, or underwriting data.
• Exposure to machine learning methods for pricing optimisation.
• Familiarity with regulatory considerations in insurance pricing (e.g., Consumer Duty).
• Knowledge of statistical modelling techniques such as regression.
• Understanding of insurance market dynamics and competitor analysis.

How to apply

Please note that the talent acquisition team are managing this vacancy directly, and if successful in securing this role, you will be required to undertake a credit, CIFAS, Right to Work checks and if a specific requirement of your role a DBS (criminal records) check. Should your application progress we require you to let the team know if there is anything you need to disclose in relation to any of these checks prior to them being undertaken, including any unspent criminal convictions.