LV= General Insurance have an exciting opportunity to join our Pricing Research & Development (R&D) Team as a Pricing Analyst.
Our Pricing Department is currently undertaking a number of major projects that will help us shape the insurance landscape of the future. As a Pricing Analyst in the R&D Team you will play a crucial role in driving innovation that adds value across the company.
You will use machine learning techniques and insurance market knowledge to develop and implement price optimisation across our Motor and Home insurance product range. You’ll contribute to projects that bring together technical experts and communicate the results to stakeholders across the business. So whether you're at the beginning of your career or already have some Pricing experience under your belt, we'd love to hear from you!
The role will be based in our Croydon or Birmingham offices, with the option to work from home up to 3 days per week or other flexible working arrangements. We want the best people working at our organisation and we recognise that those people aren’t always available full-time. So if you need any adjustments, let us know during your interview. If it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen.
About you
So, is it the right opportunity for you?
You'll be curious and keen to develop to become one of our trusted experts in the field of Pricing. While on the journey, you'll be supported by the team to grow and develop in the more technical aspects of the role. You'll have an analytical mind and a keen interest in helping drive data-led decision making across Pricing. You'll also be a great communicator, with the ability to present your ideas to stakeholders from around the business.
At LV= GI we're open to candidates with a range of experience and backgrounds: you might be a new graduate with a numeric degree, a career changer looking to move into an analytical role, or have self-taught coding skills which you want to put to use a new role.
We don't expect you to know everything from day one, but you should be able to demonstrate the following, to enable you to hit the ground running:
Essential:
- Solid knowledge of statistical methods and predictive models, and an interest in machine learning techniques
- Experience of learning and using a programming language such as Python or R. Solid Excel skills.
- Enthusiasm to improve your knowledge of data science as applied to pricing insurance products
- Excellent data handling skills, such as producing summary statistics, transformations and visualisations
- Ability to build and maintain relationships throughout both the Pricing Department and the wider business