Senior Pricing Optimisation Analyst

Ready to shape the future of pricing? We have an exciting opportunity for a Senior Pricing Analyst to join our Motor Pricing Optimisation and R&D Team. This is a hybrid role based in our London office.

As a Senior Pricing Analyst, you will use machine learning techniques and insurance market knowledge to develop and implement price optimisation across our leading retail motor brands: LV, Allianz Online, and Britannia Car. You’ll create and deliver your own plans for projects and communicate the results to stakeholders across the business. Drawing upon your existing experience in the field, this role is a great opportunity to step up to the next level in your career!

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 DataCamp, Databricks Academy, and LinkedIn Learning, we equip you with the tools and resources to thrive. You’ll gain expert knowledge through insight sessions that build both your technical and commercial knowledge and skills. By working in the Optimisation team, you’ll be putting yourself at the centre of pricing advancements and joining a team with an established pathway for promotion and advancement of your career.

Salary Information

Pay: Circa £50,000 per year. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.

About You

As a Senior Pricing Analyst, you’ll have experience in a relevant working environment, and you’ll be looking to take the next step in your chosen path to becoming 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. While having a financial services background could be advantageous, we’re happy to consider applicants from any industry with a proven record in delivering analytical work. Knowledge of pricing optimisation, and the skills to influence optimisation strategies for new business or renewals is desirable. This could also include (but is not limited to) working with Willis Towers Watson’s Radar software.

Essential Skills

• Strong knowledge and experience of using statistical methods, predictive models, and machine learning techniques to achieve business objectives. This should include (but is not limited to) GLMs (Generalised Linear Models) and tree-based GBMs (Gradient Boosting Machines).
• Excellent data handling skills, such as producing summary statistics, transformations and visualisations, preferably using Databricks, SQL, PySpark, or equivalent.
• Capability to review junior team members’ work, provide feedback, and suggest improvements.
• Experience of using software such as Python or WTW Radar to analyse data and create predictive models, preferably in a team environment.
• Proficiency in Excel and MS Office applications.
• Enthusiasm to maintain and improve your knowledge of data science as applied to pricing insurance products.
• Ability to build and maintain relationships throughout both the Pricing Department and the wider business.
• Proven teamworking and organisation skills to allow you to plan and deliver projects, adapting where necessary to external factors.
• Ability to interpret analytical outputs and communicate results to technical and non-technical audiences.
• A passion for sharing technical knowledge in an informative and engaging way to support and mentor junior colleagues across Pricing.

Desirable Skills

• Comprehensive knowledge of the principles of insurance and factors that contribute to setting the price of a policy.
• Knowledge of price optimisation and the UK regulatory environment.
• Solid experience with Willis Towers Watson software such as Radar Base, Optimiser and Emblem.
• Experience of responsible Artificial Intelligence usage for personal productivity tasks (e.g. coding).

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 Allianz Group, 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 Allianz, 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.

Inclusive Support & Accessibility

At Allianz, we are committed to fostering building an inclusive, accessible workplace where everyone can thrive. As a Disability Confident employer, we welcome applications from disabled and neurodivergent candidates and offer tailored adjustments throughout the recruitment process and in the workplace, whether that’s assistive technology, ergonomic equipment, flexible working arrangements, mentoring or coaching. We want to encourage candidates to speak with us about any adjustments they may need. We’re here to support you.

If you have a disability or long‑term health condition and meet the essential criteria, you can choose to be considered through our Offer an Interview Scheme. Contact our Resourcing team to opt into this scheme or for any assistance with during the recruitment process including larger text, hard copies, or spoken applications.

For any inquiries or to submit your application, please contact: Matthew Mckevitt

Closing date 25/09/26. We reserve the right to close the advert early if we reach enough applications.