Home Pricing Optimisation - Analyst

Policy Expert; City Of London; Hybrid; GBP 40,000 - 55,000; Full time

Job summary

A leading UK insurance company in London is seeking a Pricing Analyst to develop pricing optimisation strategies. You will make data-driven decisions using advanced analytics and collaborate with multiple teams. Ideal candidates have experience in UK General Insurance and strong statistical modelling skills. The role offers a hybrid work model and comprehensive benefits including a £1,000 learning budget.

Benefits

Pension contributions up to 7%

Learning budget of £1,000 per year

Enhanced maternity & paternity

Travel season ticket loan

Access to a wide selection of London events

Qualifications

• Solid understanding of pricing principles and regulatory governance.
• Ability to turn analysis into actionable recommendations.
• Experience with statistical modelling applied to business problems.

Responsibilities

• Develop and maintain customer lifetime value (CLTV) and price sensitivity models.
• Own pricing optimisation processes and identify optimal balances.
• Collaborate with teams to support strategic initiatives.

Skills

Experience in UK General Insurance

Commercially minded and insight-driven

Proactive with a bias for action

Hands-on experience with statistical modelling

Excellent communication and stakeholder skills

Tools

Emblem

Radar

Earnix

Job description

Overview

Policy Expert is a forward-thinking business that leverages proprietary technology and data to offer reliable products and a wow customer experience. Since 2011, we have grown rapidly, serving more than 1.5 million customers in Home, Motor and Pet insurance, and have been ranked the UK's No.1-rated home insurer by Review Centre since 2013.

As one of the fastest growing insurers in the UK, you will work in a fast-paced environment and collaborate with teams using advanced analytics and machine learning for pricing. You will partner with the data engineering team and the quote engine team to support bespoke pricing algorithms.

About the Price Optimisation team: We are seeking bright, ambitious individuals who want to make a meaningful impact and grow. You will be supported by experienced leaders in retail pricing and data science who are committed to your development and success. As a lean, hands-on team, you will take on responsibility early, drive real change, and grow with the business. Joining us at this early stage means you will help shape our innovation roadmap and team culture focused on technical excellence, commercial impact, and delivering real value to customers.

Your day to day

• Behavioural and Profitability Models: Develop and maintain customer lifetime value (CLTV) and price sensitivity models to support informed pricing decisions and long-term business performance.
• Own and deliver pricing optimisation processes, including regular Efficient Frontier modelling and customer outcome simulations, to identify the optimal balance between volume, price, and contribution.
• Innovation and Advanced Analytics: Champion continuous improvement by introducing advanced analytics techniques, machine learning approaches, and modern pricing tools.
• Collaboration and Strategic Support: Collaborate across teams and support strategic initiatives, working with the Home Risk Pricing team to align optimisation efforts and assist the Pricing Optimisation Manager with governance materials and MI.
• Leadership & Mentoring: Support and mentor junior analysts, sharing knowledge and promoting best practices across the team.

Who are you

We know we have high expectations, so please don\'t worry if you don\'t tick all the boxes—you\'ll learn on the job!

• Experience in UK General Insurance (Motor and/or Home), with a solid understanding of pricing principles and regulatory governance.
• Commercially minded and insight-driven: able to turn analysis into actionable recommendations that drive value, with a strong grasp of how price optimisation and KPIs (e.g. LTV, conversion, retention) influence business performance.
• Proactive with a bias for action and ownership: takes initiative to identify opportunities, drive meaningful improvements, and take accountability for outcomes.
• Hands-on experience with statistical modelling (e.g. GLMs, GBMs) applied to business problems
• Familiarity with pricing/modelling software: e.g. Emblem, Radar, or Earnix
• Excellent communication and stakeholder skills, with the ability to present technical insights clearly to non-technical audiences.
• Strong organisational skills, with a proactive mindset and proven ability to manage multiple priorities independently in a fast-paced environment.

Nice-to-have

• Experience in pricing optimisation and/or applying machine learning and operations research techniques to pricing problems
• Experience with cloud platforms (e.g. AWS/GCP/Azure)

This role will be based in our London office in a 50/50 Hybrid mode.

Benefits and Next Steps

We offer a benefits package including pension contributions up to 7%, a learning budget of £1,000 per year plus study leave, enhanced maternity & paternity, travel season ticket loan, and access to a wide selection of London events. We are committed to fostering an inclusive and supportive environment for all candidates and will provide reasonable adjustments during the interview process if needed.

What We Stand for We pride ourselves on being an equal opportunity employer. We recruit based solely on skills, knowledge, and experience, and value the growing diversity of our team.

Next steps We aim to be in touch within 14 working days of your application. You will be notified if successful or unsuccessful. Please apply even if you do not meet all the requirements.