Pricing Analyst

Policy Expert - Pricing Analyst

Are you ready to transform the insurance industry?

Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience.

Having achieved rapid growth since being founded in 2011, we’ve won 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.

Key responsibilities

• Extract, clean and prepare data with SQL / BigQuery and Python; automate repetitive tasks and document code so others can rerun it.
• Clarify the question and agree the approach before starting, then deliver analysis to the agreed brief.
• Run, build and refine models using established methods (e.g. risk, demand, retention and forecasting models), reading diagnostics such as lift, residuals and hold-out results.
• Run regular processes, for example rate reviews, optimisation cycles, trading changes, ancillary pricing and MI.
• Build and test pricing changes in the team’s tools (e.g. Radar), including pre and post-deployment checks, with documented test evidence; peer review changes made by others.
• Monitor portfolio and model performance (mix, conversion, retention, loss ratio, actual vs expected), explain movements and flag anything unusual.
• Interpret results commercially: impact on volume, margin and customers, market and PCW position, and GIPP, Consumer Duty and fair-value implications.
• Check own work and reconcile to known sources before handing it over.
• Produce clear outputs and present own analysis to the team, managers and Heads.
• Share knowledge and code with colleagues and contribute to team projects and process improvements.
• Works to an agreed brief; independent on standard work and escalates non-routine or ambiguous problems.
• Implements pricing changes within agreed guidelines and thresholds, after review and sign-off.
• Raises blockers and errors early and takes responsibility for fixing own mistakes.

Skills, knowledge and experience

Essential

• Degree in a numerate subject (e.g. Maths, Statistics, Actuarial Science, Economics, Data Science, Physics, Engineering), or equivalent experience
• Some SQL or Python, or a clear interest in coding and the ability to pick it up quickly; it is used every day in the role
• Experience in Office, Excel in particular
• Attention to detail and a habit of checking work
• Clear written and verbal communication, including to non-technical audiences
• Organised; able to manage several pieces of work at once
• Curiosity about how insurance pricing and the PCW market work

Desirable, more likely with some experience

• Confident SQL / BigQuery and Python for analysis
• Statistical modelling (e.g. GLMs, GBMs or other machine learning methods) applied to real problems
• Pricing or modelling software (e.g. Radar, Emblem, Earnix)
• Experience of UK personal-lines pricing and its main KPIs
• Cloud tools (e.g. GCP)
• Started or progressing professional exams (IFoA or CII)

Benefits:

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

We match your pension contributions up to 7%

Private medical & Dental cover

Learning budget of £1,000 a year + Study leave (with encouragement to use it)

Enhanced maternity & paternity

Travel season ticket loan

Access to a wide selection of London O2 events and use of a Private Lounge

Employee Wellbeing Programme

What We Stand for and Next Steps  “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 do not hesitate to 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.

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.