Principal Pricing Analyst
SKILLS
FULL DESCRIPTION
Principal Pricing Analyst
[Employer hidden — sign up to reveal] | London, United Kingdom (Hybrid) | Full-time | Permanent
Role Description
We have a new opportunity for a Principal Pricing Analyst to join our Standard Motor Risk Selection team in London or Chelmsford on a hybrid basis. This role has been created to support the growth ambitions for our broker motor portfolio, standard car and van.
You will use your insurance market knowledge and pricing expertise to develop and implement rating proposals that enable us to deliver on our business objectives. We work closely with the wider Broker business to manage our Trading performance and with our Technical Excellence Pricing colleagues, so building and maintaining strong relationships is key to us achieving our goals.
Be part of a team that’s driving innovation!
At [Employer hidden — sign up to reveal], your growth is our priority. From global training through the P&C Academy to actuarial study support, we equip you with the tools to thrive. You’ll unlock premium access to platforms like DataCamp, Databricks Academy, and LinkedIn Learning, plus gain insider knowledge through expert-led insight sessions that sharpen both your technical edge and commercial impact.
About You
Your role will vary day to day, but here is a bit of what you can expect:
- Carrying out and support the team to deliver pricing analysis
- Coordinating the delivery of technical projects to improve underwriting performance against common technical modelling standards and adherence to data controls
- Defining, setting priority and reporting on status of project work and rate reviews / analysis to support product and pricing development
- Supporting manager in Pricing meetings through presenting and contributing to outcomes
- Assisting in coaching and developing other colleagues within the team to ensure constant up-skilling
Essential Skills
We don't expect you to know everything from day one, but the following will enable you to hit the ground running:
- Proven experience in working with large data sources and a good command of Python, SQL, SAS, Databricks or similar coding languages
- Experience of Willis Towers Watson Radar software
- Good understanding of the various elements of the price we set, and how we can optimise this to deliver business targets
- Good stakeholder management skills, including communication, expectation management and the ability to convey technical concepts to a non-technical audience
- Knowledge of relevant statistical modelling methods and machine learning techniques
Desirable Skills
- Responsible Artificial Intelligence usage
What We Will Offer You
Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from- so you can pick a package that’s perfect for you. We also offer flexible working options, global career opportunities across the wider [Employer hidden — sign up to reveal], and fantastic career development and training. That’s on top of enjoying all the benefits you’d expect from the world’s number one insurance brand, including:
- Flexible buy/sell holiday options
- Hybrid working
- Annual performance related bonus
- Contributory pension scheme
- Development days
- A discount up to 50% on a range of insurance products including car, home and pet
- Retail discounts
- Volunteering days
Our Ways of Working
Do you need flexibility with the hours you work? Let us know as part of your application and if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen. Here at [Employer hidden — sign up to reveal], we are signatories of the ABIs flexible working charter. We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim with this is to help innovation, creativity, and you to thrive - Your work life balance is important to us.
Contact & Application
For any inquiries or to submit your application, please contact: Matthew Mckevitt
Email: [Employer hidden — sign up to reveal]
Closing date: 13/05/26. We reserve the right to close the advert early if we reach enough applications.