Principal Pricing Optimisation Analyst

Ready to shape the future of pricing?

We have an exciting opportunity for a Principal Pricing Optimisation Analyst to join our Broker Home team. This is a hybrid role and can be based from one of our offices in London, Birmingham, Bournemouth, Chelmsford or Leeds.

As a Principal Pricing Analyst, you will develop and implement price optimisation into our Broker Home products. You’ll plan and lead projects and communicate the results to stakeholders across the business. As a trusted subject matter expert in your chosen field, you will act as a consultant to teams across Pricing and provide training and mentoring to upskill colleagues.

Be part of a team that’s driving innovation!

At Allianz UK, your growth is our priority. From global training through the Allianz P&C Academy, to premium access to platforms like Data Camp, Databricks Academy, and Linked In Learning, we equip you with the tools and resources to thrive. You’ll gain expert knowledge through insight sessions that sharpen both your technical edge and commercial impact.

By collaborating with experts in teams across pricing, you will be contributing to the delivery of Allianz’s pricing strategy, whilst opening doors for future career opportunities both in Allianz UK and globally.

Pay:
Circa £64,000 per year.

Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.

As a Principal Pricing Analyst, you’ll have experience working in insurance and data science, and you’ll be looking to take the next step in your career to use your experience to take charge of major projects and to influence Allianz’s strategy for Home pricing in the Broker channel.

You understand that this is a fast-developing field, and you relish the opportunity to proactively improve your knowledge and keep abreast of the latest innovations.

You’ll use that expertise to advise other teams and apply it to the full model building workflow – from data extraction to model deployment.

You’ll have excellent communication and stakeholder management skills that you’ll utilise to explain complex results to non-technical audiences, and to coordinate project teams of technical experts.

You’ll also be keen to share your in-depth knowledge to inform and inspire others through training and mentoring.

We don't expect you to know everything from day one, but you should be able to demonstrate

• Experience in an insurance pricing role creating and using predictive models in a programming language such as WTW Emblem, WTW Radar, or Python.
• Proficiency in data pipeline and analysis tools, e.g. Databricks, SQL, PySpark, or equivalent.
• Capability to review and sign-off other team members’ data pipelines, models and analyses, to build and maintain high-quality, reliable, sustainable pricing processes.
• Knowledge of price optimisation and the UK regulatory environment.
• Extensive understanding of modelling techniques, including GLMs and GBMs, plus a desire to push the boundaries of the applications of machine learning to insurance pricing.
• Proven ability in Willis Towers Watson’s software Radar, using the latest functionality and championing best practice. Experience in alternative equivalent software packages may also be acceptable.
• Proficiency in core MS Office applications.
• Ability to build and maintain relationships throughout both the Pricing Department and the wider business.
• Experience of planning and managing projects from inception to completion within business timelines.
• A passion for sharing technical knowledge in an informative and engaging way to upskill the Pricing team and build Allianz’s reputation as an industry leader in price optimisation.
• Comprehensive…