Principal/Senior Pricing Analyst

We have a new opportunity for a Senior or Principal Pricing Analyst to join our Britania Rescue team in London or Bournemouth on a hybrid basis. You will use your insurance market knowledge and pricing expertise to develop and implement improvements to our premium rating models that enable us to deliver on our business objectives. We work closely with a wide range of stakeholders across the Retail business to manage our Trading performance, so building and maintaining strong relationships is key to us achieving our goals. Be part of a team that’s driving innovation!

At Allianz UK your growth is our priority, from global training through the P&C Academy to actuarial study support, premium access to platforms such as DataCamp, Databricks Academy and LinkedIn Learning, and expert‑led insight sessions that sharpen 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:

• Analysing quote, policy, exposure, claims and other datasets to propose changes to our premium rating models.
• Presenting and contributing to Pricing & Trading meetings.
• Defining, prioritising and reporting on the status of project work to support product and pricing development.
• Assisting in coaching and developing other colleagues within the team to ensure constant up‑skilling.
• Coordinating the delivery of technical projects to improve underwriting performance against technical modelling standards and data controls.
• Contributing towards best practices across the department by collaborating with other Pricing and Data Science teams.

Essential Skills

• Experience of Willis Towers Watson Radar software, particularly with building projects in Radar Base or Live.
• Proven experience in working with large data sources and a good command of SQL, Python, Databricks, SAS or similar coding languages.
• Experience working in a personal lines pricing environment.
• Good understanding of the various elements of the premium 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.

What We Will Offer You

• Flexible buy/sell holiday options
• Hybrid working
• Annual performance‑related bonus
• Contributory pension scheme
• Development days
• 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. At Allianz we are signatories of the ABI flexible working charter and support hybrid work patterns that balance the needs of our customers, with your personal circumstances and our business requirements.

Integrity, Fairness, Inclusion & Trust

At Allianz we believe in fostering an inclusive workforce and are proud to be an equal‑opportunity employer. We have numerous accreditations such as EDGE certified for gender inclusion, Women in Finance Charter membership, Disability Confident employer, Stonewall Diversity Champion, Business in the Community’s Race at Work Charter signatories, and the Armed Forces Covenant gold standard. We embrace neurodiversity and welcome applications from neuro‑divergent and disabled candidates, offering tailored adjustments to ensure your success.

Accessible Application for All

As part of the Disability Confident Scheme, we support candidates with disabilities or long‑term health conditions through the Offer an Interview Scheme for those meeting the essential skills for the role. Contact our Resourcing team to opt into this scheme or for assistance with your application, including larger text, hard copies, or spoken applications: Hr‑recruitment@allianz.co.uk.

For any inquiries or to submit your application, please contact: Matthew Mckevitt. Closing date 20/02/26. We reserve the right to close the advert early if we reach enough applications.