Who are we?
We’re Policy Expert, a home and car insurance provider and we’re on a mission to shake up the personal insurance industry. We felt that insurers had underserved people for too long with confusing policies, expensive renewals and frustrating claims. It was time to put people first. Since our inception in 2011, we’ve used breakthrough thinking and proprietary tech to offer insurance that’s clear, fair and great value. And people like what we do. So much so, that last year we hit one million customers, driven by our double-digit growth.
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.
Requirements
Key Role Outputs
Provide support in forecasting our growth and loss ratio.
Work closely with other members of pricing to carry out regular rate reviews and monitor their impact.
You will be analysing large data sets, recommending initiatives and building models to execute these initiatives.
Producing periodic reporting to senior managers.
Work with engineers to make your ideas a reality.
Provide analytical support in ongoing relationships with reinsurers, regulators and other partners.
Provide pricing support for the launch of multiple new products.
Role Environment
- London-based with hybrid
- Matrix environment with need for transparency and strong stakeholder engagement.
- Strong entrepreneurial culture to drive quick and informed decision-making to optimize market position.
- Emphasis on moving very quickly to exploit market conditions/profit opportunities.
- Operate within a robust governance framework.
Qualifications/Experience
- 1 years pricing experience in an insurer environment (preference in uk motor/home).
- 2:1 degree in numerical discipline e.g. Maths, Physics, Econometrics.
- Trained in risk models such as GLMs via software preferably WTW Emblem.
- Trained in WTW RADAR software.
- Strong data manipulation skills using SQL/Python/R/WPS or similar.
- Experience of rating update processes, performance and impact monitoring.
- Good understanding of retail price optimisation
Benefits
- Competitive starting salary
- 25 days paid holiday + Wellness days
- 50/50 Hybrid working with one off Work from home equipment fund
- Cycle to Work scheme
- Health/Dental insurance
- Yearly study support budget
- O2 ticket scheme
- Salary sacrifice pension