Analytics Pricing Product Owner

Analytics Pricing Product Owner

Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
C

At a Glance

  • Tasks: Lead pricing analytics projects and bridge teams to enhance insurance pricing tools.
  • Company: Join Chubb, a leader in the insurance industry with a focus on innovation.
  • Benefits: Enjoy competitive salary, hybrid work options, and comprehensive learning opportunities.
  • Other info: Diverse and inclusive workplace committed to employee growth and well-being.
  • Why this job: Make a real impact in the insurance sector while developing your analytical skills.
  • Qualifications: Degree in a quantitative field and experience in P&C insurance pricing required.

The predicted salary is between 60000 - 75000 £ per year.

Chubb is seeking an Analytics Pricing Product Owner to support the EMEA Analytics team and act as the bridge between actuarial pricing teams and the data and technology squads that build pricing tools, analytical platforms, and monitoring datasets. This role owns the product backlog for pricing analytics capabilities, defines requirements grounded in P&C insurance domain knowledge, and drives delivery through agile ways of working. The role is expected to be analytically capable and will contribute directly to pricing analyses alongside product ownership responsibilities. The individual will work with actuarial systems, rating factor data, and portfolio monitoring tools to support pricing and profitability decisions across the business.

Key Responsibilities

  • Define, maintain, and prioritise the product backlog for pricing analytics capabilities, ensuring alignment with business strategy, OKRs, and KPIs.
  • Articulate a clear product vision and roadmap for pricing tools and analytical datasets in consultation with actuarial, underwriting, and data stakeholders.
  • Translate business pricing requirements into well-defined user stories with clear acceptance criteria and measurable outcomes.
  • Act as the primary liaison between actuarial pricing teams and delivery squads, gathering and clarifying requirements and maintaining ongoing stakeholder alignment.
  • Participate actively in Agile ceremonies including Sprint Planning, Daily Standups, Backlog Refinement, Quarterly Release Planning (QRP), and Quarterly Business Reviews (QBR).
  • Collect and analyse delivery metrics, adoption data, and stakeholder feedback to drive continuous improvement of pricing products.
  • Make time‑bound, accountable decisions on product priorities and trade‑offs; communicate progress, risks, and challenges proactively to stakeholders.
  • Identify and upscale obstacles that may hinder development progress to optimise squad workflow and productivity.
  • Conduct pricing analyses using P&C actuarial data, including rate level monitoring, loss ratio analysis, exposure trending, and profitability reviews.
  • Support the development and validation of rating factor studies, technical pricing models, and portfolio monitoring outputs.
  • Work with data from actuarial and pricing systems to produce actionable insights for pricing actuaries, underwriters, and senior management.
  • Contribute to the design of data specifications, field mappings, and data quality assessments for pricing and rating factor datasets.
  • Assist in the design and validation of modelling datasets and analytical frameworks that support statistical pricing models (e.g., GLMs).
  • Prepare clear, concise analytical outputs and presentations suitable for both technical and non‑technical audiences.

Qualifications

Required Qualifications

  • Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related quantitative discipline.
  • 2–4 years of experience in P&C insurance pricing, actuarial analysis, or a closely related analytical role.
  • Demonstrated knowledge of P&C insurance pricing concepts, including rate adequacy, loss development, rating factors, and exposure bases.
  • Proficiency in data analysis tools — SQL, Python, R, or advanced Excel/VBA — for querying and analysing large insurance datasets.
  • Experience working with actuarial or pricing datasets and familiarity with insurance data structures (policy, claims, and rating factor data).
  • Ability to translate complex analytical problems into clear business requirements and structured product backlog items.
  • Strong written and verbal communication skills; able to work effectively across actuarial, underwriting, data engineering, and technology teams.
  • Comfortable working independently in ambiguous environments with minimal day‑to‑day guidance.

Preferred Qualifications

  • Progress toward actuarial credentials (CAS or IFoA examinations).
  • Experience with Agile delivery methodologies (Scrum, Kanban) and tools such as Jira.
  • Familiarity with pricing platforms, rating engines, or commercial actuarial software (e.g., Guidewire, Radar, ResQ, Emblem).
  • Experience with cloud data platforms or enterprise data warehouses (e.g., Snowflake, Azure, AWS).
  • Experience with data visualisation tools (e.g., Power BI, Tableau).
  • Prior experience in a product owner, business analyst, or product management capacity is advantageous but not required.

Benefits

  • Competitive salary & pension scheme
  • Discretionary bonus scheme
  • 25 days annual leave plus ability to purchase 5 additional days
  • Hybrid working options
  • Private Medical cover
  • Employee Share Purchase Plan
  • Life Assurance
  • Subsidised gym membership
  • Comprehensive Learning & development offerings
  • Employee Assistance program

Diversity & Inclusion

At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long‑term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.

Analytics Pricing Product Owner employer: Chubb European Group Ltd.

Chubb is an exceptional employer that values its employees as its greatest asset, offering a competitive salary and comprehensive benefits package, including hybrid working options and extensive learning and development opportunities. The collaborative work culture fosters innovation and inclusivity, ensuring that every team member can thrive while contributing to impactful pricing analytics in the dynamic EMEA market.

C

Contact Details:

Chubb European Group Ltd. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Analytics Pricing Product Owner

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Chubb European Group Ltd.!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Pricing Product Owner at Chubb European Group Ltd..

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Chubb European Group Ltd..

Apply Directly through Our Website

When you find a suitable opening like Analytics Pricing Product Owner at Chubb European Group Ltd., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Analytics Pricing Product Owner

Product Ownership
Agile Methodologies
P&C Insurance Domain Knowledge
Data Analysis
SQL
Python
R

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Chubb European Group Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Chubb European Group Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Chubb European Group Ltd.

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Chubb European Group Ltd.!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.