Allianz have a new opportunity for a Principal Pricing Analyst within our Broker Home Pricing team. This will be a hybrid position based out of our London or Birmingham offices.
Working with the wider Pricing and Data Science team to develop and implement best practices and with the Underwriting and Distribution teams to support delivery of trading objectives.
You'll deliver project work and analysis to agreed business timescales, influence and interpret project requirements from Pricing/Trading 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'll 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 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:
- Leading the review of and implementation of risk model updates into live rating– continually looking to improve data and processes.
- Working with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomes.
- Getting hands-on with data from its source right through to modelling and then implementation in rating.
- Analysing data, interpreting output and communicating results to a non-technical audience.
- Building and testing Statistical models and machine learning algorithms.
- Working with Data Enrichment team to obtain and use third-party and internally generated data sources to enhance models.
- Supporting the business in the deployment of its data solution.
- Assisting in coaching and developing other colleagues within the team to ensure constant up-skilling.
- Assisting with BAU including reporting.
Essential Skills
We don't expect you to know everything from day one, but the following will enable you to hit the ground running:
- Solid knowledge of relevant statistical modelling methods – in particular GLMs.
- Knowledge of relevant machine learning techniques – in particular GBMs.
- Proven experience in working with large data sources.
- Good command of Advanced Excel, Python, SQL, SAS, Databricks or similar coding languages.
- Experience of WTW’s Radar and Emblem.
- Good understanding of the various elements of a Technical Price, including business expenses, other costs and actuarial/inflation assumptions.
- Good stakeholder management skills, including communication, expectation management and the ability to convey technical concepts to a non-technical audience.
- Ability to build and maintain relationships throughout both the Pricing Department and the wider business.
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.
Integrity, Fairness, Inclusion & Trust
At Allianz, we believe in fostering an inclusive workforce and are proud to be an equal opportunity employer. Our commitment to equal opportunities, gender equity, and balanced gender representation, is 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.
Hr-recruitment@allianz.co.uk
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: 30/07/25
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