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Product Owner - Insurance Analytics
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Product Owner – Rating Engines & Portfolio Analytics
This is not a conventional product role—and it is not a roadmap of screens and forms. Our Digital MGA client is targeting a doubling of the business over the next three years, supported by an ambitious AI portfolio being built in-house. We are now looking for a Product Owner to take responsibility for two of their most data-intensive product areas: the rating engines that price risk and the portfolio management tools that give underwriting leadership a real-time view of exposure, concentration, and performance across the book. You will need to be as comfortable discussing a pricing factor, model output, or data schema as you are prioritizing a backlog or leading a sprint review. This is an exciting opportunity for future career development.
The Opportunity
You will own the roadmap and backlog for:
- The shared rating and pricing engine, including product-specific rating logic, calibration, governance, and version control
- Portfolio management tooling covering exposure aggregation, concentration risk, loss-ratio trends, and other insights used to manage the overall book
- Data pipelines and analytics that turn underwriting questions into reliable, decision-ready information
This role sits at the intersection of underwriting, actuarial, data science, and engineering. You will not be expected to build calibration curves or models yourself—but you will need to understand their outputs, ask informed questions, and explain the implications of a pricing change to underwriting stakeholders.
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What You’ll Do
- Own and shape the product roadmap and backlog for rating engines and portfolio analytics
- Evaluate new ideas before committing development resources
- Write requirements and acceptance criteria that work for data pipelines, models, and pricing logic—not simply user interfaces
- Translate underwriting leadership’s information needs into clear data and product requirements
- Review analytical outputs before they are released
- Work closely with underwriting, actuarial, data science, and engineering to understand what is driving model or pricing changes
- Determine when a result requires formal data science or actuarial validation
- Sequence releases across regions and lines of business, progressing through to full automation
- Use measured accuracy, error rates, and live evidence to guide rollout decisions
- Identify changes that can be automated safely and which require greater control
- Use AI tools directly within your own work—for example, exploring data, querying rating-engine outputs, accelerating requirements gathering, or drafting technical requirements
- Keep stakeholders and leadership informed with clear, credible updates about risks and uncertainty as well as progress
About You
- Strong Product Owner or Product Manager experience for 3+ years following your Graduate level education (min 2:1), ideally involving a data-intensive, analytical, or model-backed product
- Insurer or Digital MGA background ideal - data-focused Product role within Specialty or Commercial
- We would be particularly interested in candidates with experience of pricing engines, risk-scoring platforms, portfolio analytics, or similarly complex systems within Insurance
- The confidence to read model outputs and ask sharp, informed questions, without necessarily being a data scientist yourself
- Strong agile delivery knowledge, combined with the judgement to adapt processes as needed
- A clear instinct for MVP scoping: what needs to ship now, what can wait, and what requires further evidence
- Practical, hands-on fluency with AI tools as part of your own product workflow—not simply experience discussing AI on a roadmap
- Excellent stakeholder-management skills and the ability to communicate appropriately with underwriters, actuaries, data scientists, engineers, and senior leadership
- Keen to work remotely from the UK, and living within easy access of London for occasional team collaboration
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This is a high-impact opportunity for someone who enjoys owning genuinely complex products, making evidence-led decisions, and working close to the logic and data that drive a commercial insurance business. If your idea of product ownership goes deeper than features and screens—and you want to influence how risk is priced, understood, and managed—we would be very interested in speaking with you.
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