Policy Expert – Head of Price Optimisation

🚀 We’re on a mission to make: The most successful insurance disruptor people want to stay with for life 

Are you ready to transform the insurance industry with innovative technology? At Policy Expert, we are on a mission to revolutionize Home, Pet, and Motor insurance, making it clear, fair, and great value for customers. Since our inception in 2011, our breakthrough thinking and proprietary tech, have won us over 1.5 million customers and the title of the UK’s No.1-rated home insurance provider for 9 years. 🏆   

Hear from our team about what it's like working at Policy Expert 

 

About the Pricing team: 

We are the engine behind the business, collaborating closely with our data engineering, machine learning, marketing and wider tech teams to underpin the company's growth and footprint.

We’ve got a huge amount of backing from our leadership team, allowing us to make decisions quickly and react to an ever-changing market. This autonomy gives us the edge over competition and allows us to stay nimble as we scale.

As I’m sure that you are aware, data is key, that’s why we ingest huge amounts of it from various third parties. This gives us a crystal-clear picture of our customers, leading to a best-in-class loss ratio keeping us one step ahead of the market.

This puts us in a great place, however we’re looking to develop pricing further by increasing the sophistication of our retail pricing and that’s where you come in.

 

Your day to day: 

· Developing and delivering best practice pricing capabilities and solutions

· Shaping thinking on price optimisation strategies within the business

· Driving updates and improvements to the framework and approaches for price optimisation

· Overseeing the build and deployment of predictive models and algorithms

· Supporting Technology in the evolution of ML infrastructure for use in optimisation and the wider the Pricing team

· Reviewing and testing internal and external data sources with the use of feature engineering to enrich and improve understanding of customer behaviour and the Insurance market place

· Gaining agreement and buy in from the Exec for pricing strategies and resulting workstreams at the Monthly Pricing Committees

· Providing leadership to the Price Optimisation team

· Keeping up to date with the latest advancements in techniques and tooling for the price optimisation space

  

Who are you: 

· 10+ years’ experience in pricing roles

· Deep understanding of retail price optimisation and the competitive Insurance landscape

· Significant experience of building, monitoring, and updating predictive models and price optimisation algorithms

· Strong data manipulation skills using SQL/Python/R/WPS or similar

· Preferable to have experience in building and deploying ML algorithms in AWS Sagemaker or similar service

· Preferably proficient in WTW RADAR software

· Experience of leading and building teams

· Strong communication and influencing skills required

 

Benefits: 

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

💸 Generous Pension contribution scheme 

🏥 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. 

Useful links:  

Glassdoor | Trust Pilot | Best Companies 

 

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