Principal Pricing Analyst - Technical Home

Allianz Management Services Ltd; London; Hybrid; GBP 63,000; Full time

Job summary

Allianz Management Services Ltd is looking for a Principal Pricing Analyst to join their team in London. This hybrid role involves using statistical modelling and programming expertise to improve pricing strategies and enhance data processing for the home insurance market. The position offers various development opportunities and a competitive salary package.

Benefits

Flexible buy/sell holiday options

Annual performance related bonus

Contributory pension scheme

Discounts on insurance products

Qualifications

• Solid knowledge of GLMs.
• Experience with GBMs.
• Proven experience in data handling.

Responsibilities

• Assisting in risk model updates.
• Data analysis and communication to stakeholders.
• Building and testing statistical models.
• Collaborating to enhance data sources.

Skills

Statistical modelling methods

Machine learning techniques

Large data sources expertise

Python

SQL

SAS

Tools

Willis Towers Watson software

Job description

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Principal Pricing Analyst - Technical Home, London

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Client:

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

4e50704d3383

Job Views:

4

Posted:

25.06.2025

Expiry Date:

09.08.2025

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Job Description:

Principal Pricing Analyst - Technical Home

Allianz have a new opportunity for a Principal Pricing Analyst to join our Home Technical Pricing team in London or Bournemouth on a hybrid basis.

You will use your insurance market knowledge and pricing expertise to develop and implement optimisation strategies that enable us to deliver on our business objectives.

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: Circa £63,000 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

Your role will vary day to day, but here is a bit of what you can expect:

• Assisting in planning and carrying out risk model updates – 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, interpret output and communicate 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 model.
  
  

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 Python, SQL, SAS or similar coding languages
• Experience of Willis Towers Watson software such as Radar or Emblem
• Good understanding of the various elements of a Technical Price, including business expenses, other costs and actuarial/inflation assumptions .
  
  

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
• Annual performance related bonus
• Contributory pension scheme
• A discount up to 50% on a range of insurance products including car, home and pet

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.

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

Closing Date: 24/06/25

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