Home - Retail Pricing Analyst in London

Policy Expert – Home Pricing – Retail Pricing Analyst
Policy Expert is a forward-thinking business that leverages proprietary technology and smart data to offer reliable products and a wow customer experience. Founded in 2011, we have grown rapidly, winning over 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.
About the Team
As part of one of the fastest‑growing insurers in the UK, you will thrive in a fast‑paced, collaborative environment. The pricing team utilises advanced analytics and machine‑learning techniques to develop bespoke pricing algorithms in partnership with data engineering and the quote engine teams.
Your Day to Day
Behavioural and Profitability Models: Develop and maintain customer lifetime value and price sensitivity models to support informed pricing decisions and long‑term business performance.
Price Optimisation: Own and deliver price optimisation processes, including 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 closely with the Home Risk Pricing team to align optimisation efforts and assisting 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 certainly learn on the job!
Essential Qualifications
Experience in UK general insurance (Motor and/or Home) with 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
Programming proficiency (Python, R, SQL, Git).
Experience in price optimisation and/or applying machine‑learning and operations‑research techniques to pricing problems.
Experience with cloud platforms (AWS, GCP, Azure).
Benefits
London office, 50/50 hybrid mode.
Match pension contributions up to 7 %.
Private medical and dental cover.
Learning budget of £1 000 a year + study leave.
Enhanced maternity and paternity leave.
Travel season ticket loan.
Access to a wide selection of London O2 events and use of a private lounge.
Employee wellbeing programme.
Prayer room in office.
Equal Opportunity
We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual’s skills, knowledge and experience. The quality and growing diversity of our team is a testament to this commitment. At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please let us know – we are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support.
Next Steps
We aim to be in touch within 14 working days of your application – you will be notified if successful or unsuccessful. Please be encouraged to apply even if you do not meet all the requirements.
#J-18808-Ljbffr