Pricing Analytics Product Owner - Hybrid & Growth

Chubblifefund; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

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

Job summary

Chubblifefund seeks an Analytics Pricing Product Owner in Greater London to bridge actuarial pricing teams and data technology squads. This role is integral to defining analytics product backlogs and driving agile delivery.

The ideal candidate has 2-4 years in P&C insurance pricing, proficiency in SQL and Python, and strong communication skills. Benefits include competitive salary, hybrid working options, and extensive learning opportunities.

Qualifications

• 2–4 years of experience in P&C insurance pricing, actuarial analysis, or closely related analytical role.
• Demonstrated knowledge of P&C insurance pricing concepts including rate adequacy and rating factors.
• Ability to translate complex analytical problems into clear business requirements.

Responsibilities

• Define, maintain, and prioritize the product backlog for pricing analytics capabilities.
• Act as the primary liaison between actuarial pricing teams and delivery squads.
• Conduct pricing analyses using P&C actuarial data for profitability decisions.

Skills

Data analysis tools (SQL, Python, R, advanced Excel/VBA)

Communication skills

Knowledge of P&C insurance pricing concepts

Independence in ambiguous environments

Education

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics or a related field

Tools

Jira

Power BI

Tableau

Job description

Chubblifefund seeks an Analytics Pricing Product Owner in Greater London to bridge actuarial pricing teams and data technology squads. This role is integral to defining analytics product backlogs and driving agile delivery.

The ideal candidate has 2-4 years in P&C insurance pricing, proficiency in SQL and Python, and strong communication skills. Benefits include competitive salary, hybrid working options, and extensive learning opportunities.