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For Companies At a Glance
- Tasks: Join our team to develop pricing strategies and optimise data processes in a dynamic environment.
- Company: Allianz is a leading global insurance brand committed to innovation and diversity.
- Benefits: Enjoy flexible working, generous study packages, and discounts on insurance products.
- Why this job: Enhance your skills with top training platforms and participate in insightful sessions with industry experts.
- Qualifications: Solid knowledge of statistical modelling, experience with large data sources, and proficiency in coding languages required.
- Other info: We support diverse candidates and offer tailored adjustments for success.
The predicted salary is between 50400 - 72000 £ per year.
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 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 £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
- 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: Charlotte Whalley. If you are an at-risk candidate facing potential redeployment, please include this information in your CV. We reserve the right to close the ad early if we reach enough applications. Closing date 24/06/25.
Principal Pricing Analyst - Technical Home employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Pricing Analyst - Technical Home
✨Tip Number 1
Familiarise yourself with the latest statistical modelling methods, especially Generalised Linear Models (GLMs) and Gradient Boosting Machines (GBMs). Being able to discuss these techniques confidently during your interview will demonstrate your expertise and readiness for the role.
✨Tip Number 2
Make sure you understand the specific software mentioned in the job description, such as Willis Towers Watson's Radar or Emblem. If you have experience with similar tools, be prepared to explain how that experience translates to the software used at Allianz.
✨Tip Number 3
Network with current or former employees of Allianz, particularly those in the Home Technical Pricing team. They can provide insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 4
Prepare to discuss your experience with large data sources and your coding skills in Python, SQL, or SAS. Be ready to share specific examples of how you've used these skills to solve problems or improve processes in previous roles.
We think you need these skills to ace Principal Pricing Analyst - Technical Home
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Principal Pricing Analyst position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Skills: Focus on showcasing your knowledge of statistical modelling methods, machine learning techniques, and experience with coding languages like Python or SQL. Provide specific examples of how you've applied these skills in previous roles.
Craft a Strong Cover Letter: Write a compelling cover letter that not only expresses your interest in the role but also demonstrates your understanding of Allianz's values, such as diversity and inclusion. Mention how you can contribute to their goals and culture.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for this analytical role.
How to prepare for a job interview at Job Traffic
✨Showcase Your Statistical Knowledge
Make sure to highlight your understanding of statistical modelling methods, especially Generalised Linear Models (GLMs). Be prepared to discuss how you've applied these techniques in previous roles and how they can be beneficial for the Principal Pricing Analyst position.
✨Demonstrate Data Handling Skills
Since the role involves working with large data sources, come ready to share examples of your experience with data analysis. Discuss specific tools you’ve used, such as Python or SQL, and how you’ve transformed raw data into actionable insights.
✨Prepare for Technical Questions
Expect technical questions related to machine learning techniques, particularly Gradient Boosting Machines (GBMs). Brush up on these concepts and be ready to explain how you would apply them in pricing strategies.
✨Communicate Effectively with Non-Technical Audiences
As part of the role, you'll need to present complex data findings to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work rather than the technical details.
