Description
We’re Policy Expert, a home and motor insurance provider and we’re on a mission to shake up the personal insurance industry.
We launched Policy Expert in 2011 because we wanted to put people first. From the very beginning our philosophy has been simple – put people at the heart of everything we do.
Within two years we were rated the UK’s no.1 Home Insurance provider on Reviewcentre.com, an accolade we have been proud of and held ever since. We have also been awarded a range of customer and industry awards that we’re incredibly proud of and have just made the milestone of just over one million customers trusting us to insure their homes with us.
We know our success comes from our talented workforce and as a business we pride ourselves on going that extra mile for our people. We have a growing team of over 100 tech experts across our London office, helping customers find the best deals for their Home and Car insurance.
We have big aspirations. We aim to build longer and deeper relationships with our customers and to help them see insurance as being a help, not a hindrance.
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.
Key Role Outputs
- 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
Qualifications/Experience
- 8+ years’ experience in pricing roles
- 2:1 degree in numerical discipline with an MSc or higher qualification preferable
- 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
- Private medical cover with Vitality
- Dental Insurance
- Hybrid working
- Annual Training Budget - £1k
- Travel season ticket loan
- Social events through the year
- Access to selected London O2 events and use of a Private Lounge.
- Employee Wellbeing Programme
- Work Anywhere in the world for 10 days
Please be aware that we cannot offer sponsorship for this role.
