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- Tasks: Join our team as a Principal Pricing Analyst, working on data analysis and statistical modelling.
- 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 in a supportive environment with access to top training platforms.
- Qualifications: Solid knowledge of statistical methods and experience with large data sources required.
- Other info: We embrace diversity and offer tailored support for neurodivergent candidates.
The predicted salary is between 50400 - 72000 £ per year.
Allianz have a new opportunity for a Principal Pricing Analyst to join our Motor Technical Pricing team in London on a hybrid basis. You will 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 £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
As the Principal Pricing Analyst, you will be responsible for:
- 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, interpreting output and communicating results to a non-technical audience.
- Building and testing Statistical models and machine learning algorithms.
- Assisting in coaching and developing other colleagues within the team to ensure constant up-skilling.
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 Willis Towers Watson software such as Radar and Emblem.
- Good stakeholder management skills, including communication, expectation management and the ability to convey technical concepts to a non-technical audience.
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.
Contact Detail:
Allianz Popular SL. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Pricing Analyst - Motor Technical Pricing
✨Tip Number 1
Familiarise yourself with the specific statistical modelling methods mentioned in the job description, particularly Generalised Linear Models (GLMs) and Gradient Boosting Machines (GBMs). This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with current or former employees of Allianz, especially those in the Pricing or Data Science teams. They can provide valuable insights into the company culture and expectations, which can be beneficial when preparing for your interview.
✨Tip Number 3
Brush up on your coding skills, particularly in Python, SQL, and SAS. Consider working on personal projects or contributing to open-source projects that involve data analysis and modelling to showcase your practical experience.
✨Tip Number 4
Prepare to discuss how you've successfully managed stakeholder relationships in the past. Think of examples where you've communicated complex technical concepts to non-technical audiences, as this is a key skill for the Principal Pricing Analyst role.
We think you need these skills to ace Principal Pricing Analyst - Motor Technical Pricing
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and essential skills required for the Principal Pricing Analyst position. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Experience: When writing your CV and cover letter, focus on your experience with statistical modelling methods, machine learning techniques, and data analysis. Provide specific examples of projects or tasks where you successfully applied these skills.
Showcase Communication Skills: Since the role involves conveying technical concepts to a non-technical audience, emphasise your communication skills in your application. Include instances where you've effectively communicated complex information to diverse stakeholders.
Express Enthusiasm for Continuous Learning: Mention your eagerness to participate in training and development opportunities, such as the Global P&C Academy accreditation. Highlight any relevant courses or certifications you have completed or are currently pursuing.
How to prepare for a job interview at Allianz Popular SL.
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Principal Pricing Analyst. Familiarise yourself with statistical modelling methods, machine learning techniques, and the tools mentioned in the job description, such as Python and SQL.
✨Prepare for Technical Questions
Expect to be asked about your experience with data analysis and statistical models. Brush up on GLMs and GBMs, and be ready to discuss how you've applied these in previous roles or projects.
✨Showcase Your Communication Skills
Since you'll need to convey technical concepts to non-technical audiences, practice explaining complex ideas in simple terms. Think of examples from your past experiences where you successfully communicated data insights.
✨Demonstrate Stakeholder Management
Be prepared to discuss how you've built relationships with different teams and stakeholders. Share specific examples of how you've managed expectations and collaborated to achieve project goals.
