Analytics Pricing Product Owner in London

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

• Product Ownership
• 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 IFo A 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, Res Q, 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

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.

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