Pricing Analyst
Guildford, ENG, GB, GU2 8XG
Role Description
An exciting opportunity has arisen for a Pricing Analyst to join our growing Animal Health Technical Pricing Team. The team is responsible for building technical Pricing models and monitoring the risk to support the market leading brand PetPlan as well as our growing LV pet proposition. Our team is at the heart of achieving the company’s strategy and it is an exciting time for you to join and shape the future of our business.
This is a great role for someone looking to develop their data and analytics skills to drive and improve business outcomes. A great advantage of being a member of the Animal Health Pricing team is the extensive training provided. The UK team has collaborated with the worldwide Allianz Group, to deliver an accreditation scheme designed to train you in all aspects of pricing. From data science modelling in cutting edge software to automating optimisation calculation routines honed across global markets.
Pricing will play a key role in delivering this ambition. We are looking for individuals who have an eye for detail, love working with technology and have a passion for analysing data. You’ll be at the sharp end of our business, delivering analytical models that are used to drive commercial decisions, solve challenging problems, and deliver enhancements to our products and pricing techniques.
Location
This role is based in our Guildford office. This is a hybrid role with expectation of you attending the office one day per week
Salary Information
This role offers a circa range of £41,000 to £43,000 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
- Build sophisticated technical Pricing Models using Willis Tower Watson tools (Emblem and Radar) and Machine Learning.
- Develop demand forecasting models and contribute to the analysis of customer retention and cancellation patterns
- Be part of strategic projects to create tariff of new products.
- Monitor carefully the risk of our existing products and share any statistical analysis with other teams.
- Be part of many projects involving Machine Learning: Data preparation, Classification and Regression Models, Automation, Risk monitoring
- Consider any market disruptions (Covid, Economic crisis) that impact our models
- Support initiatives to maintain our “Excellent” Technical Price Certification.
- Share and promote knowledge, skills and best working practices within the team.
- Be fully supported in your development and wider career ambitions
- Be part of a motivated an exciting team where the word boring does not exist!
Essential Skills
- Previous experience working in a business environment
- Experience of using data analytics tools like WTW tools (Emblem / Radar), SAS, Python, SQL, Excel, VBA.
- Qualified to degree level and have a high degree of numerical ability: E.g. Mathematics, Actuarial, Economics, Statistics
- Well-developed problem-solving skills, logically working through scenarios and thinking multiple steps ahead to understand potential impacts
- Experience of using machine learning.
- Excellent analytical and data interpretation skills when working with large volumes of complex data
- Ability to communicate findings to technical and non-technical audiences
- Business acumen as well as a basic understanding of the insurance sector
We support the government scheme “Access to Work” please feel free to ask us about the access to work scheme.
Desirable Skills
- You embrace innovation and like challenge
- You take ownership of your projects
- Responsible Artificial Intelligence usage is desirable but not essential
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. Hr-recruitment@allianz.co.uk
For any inquiries or to submit your application, please contact: Conor McCourt
If you are an at-risk candidate facing potential redeployment, please include this information in your CV.
Closing date: August 16th 2026
We reserve the right to close the advert early if we reach enough applications.
Join us - Let’s Care for Tomorrow.
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