Principal Pricing Analyst - Actuarial Pricing 1 in London

Allianz have a new opportunity for a Principal Pricing Analyst covering our offices in Birmingham, Bournemouth, Leeds and London.

You’ll be working with the wider Pricing team and Data Science team to develop and implement best practices. You will deliver project work and analysis to agreed business timescales, influence and interpret project requirements from Pricing meetings and document important decisions and challenges from the senior stakeholders. In addition to this, you will build and maintain relationships with teams involved in the Pricing end-to-end delivery process and across the company.

You will participate in the Global P&C Academy accreditation, enhancing your skills in underwriting, risk engineering, pricing, and claims management while exchanging best practices across the Allianz Group. Furthermore, for pricing-based roles, Allianz Insurance offers a generous study package to enable the actuarial qualification to be obtained through the Institute and Faculty of Actuaries in the UK.

Our team values continuous learning; you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills.

Salary Information

Pay: Circa £70,000 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 the Principal Pricing Analyst, you will be responsible for:

• Building an automated process to project claims to ultimate using best practice techniques, including developing a claims monitoring process.
• Working with various stakeholders to ensure inputs into the Forecast are robust.
• Co-ordinating the roll-out of the new Forecast across all Products.
• Working with the Technical Pricing teams to ensure the technical premium models reflect the latest view of risk.
• Staying abreast of industry best practice on actuarial methodologies and competitor insights.
• Providing guidance on the interpretation / limitations of the Pricing Forecasts.
• Providing input into innovative ways of carrying out Forecasting work to improve accuracy and efficiency. This might include data science techniques.
• Adhering to high model governance standards.

Essential Skills

To be successful in this role you will have:

• Significant pricing or reserving experience.
• Excellent working knowledge of actuarial methods and principles, ideally in a pricing context including the use of Actuarial software.
• Experience of working in an insurance pricing role.
• Knowledge of price optimisation and the general insurance regulatory environment.
• Proficiency in Excel and MS Office or equivalent applications.
• Experience of planning and managing projects from inception to completion within business timelines.
• A passion for sharing knowledge in an informative and engaging way to upskill the Pricing team and build Allianz' reputation as industry leaders in pricing.

Desirable Skills

Ideally you will have:

• Actuarial qualification.
• An understanding of modelling techniques, including GLMs and GBMs and their application to insurance pricing.
• Thorough knowledge of Willis Towers Watson’s software Radar and Emblem or similar.
• Data science skill or experience.
• Data handling skills using SAS and/or SQL. Experience in a data science programming language, preferably Python.
• Knowledge of Agile project management processes.

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.

Diversity & Inclusion

At Allianz, we prioritize diversity and inclusion, demonstrated by our numerous accreditations: EDGE certified for gender inclusion, Women in Finance Charter members, Disability Confident employer, Stonewall Diversity Champion, Business in the Community’s Race at Work Charter signatories, and Armed Forces Covenant gold standard employer. We embrace neurodiversity and welcome applications from neurodivergent and disabled candidates, offering tailored adjustments to ensure your success. We encourage our employees to advocate for their needs, whether it’s assistive technology, ergonomic equipment, mentoring, coaching, or flexible work arrangements.

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.

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

We reserve the right to close the ad early if we reach enough applications.

Closing date 09/02/26.