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Home Pricing Manager

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Harnham
Full Time position
Listed on 2026-09-12
Job specializations:
  • Insurance
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 65000 - 80000 GBP Yearly GBP 65000.00 80000.00 YEAR
Job Description & How to Apply Below

London (Hybrid) | £65,000 to 80,000 + Bonus + Car Allowance

The Company

They are a well-established UK insurance organisation with a strong focus on data, analytics, and innovation. Their pricing function sits at the heart of business performance, partnering closely with actuarial, underwriting, data science, and commercial teams. They foster a collaborative culture that values curiosity, continuous improvement, and evidence-based decision making. This is an environment where you can influence strategy, challenge established thinking, and see the direct impact of your work.

The Role

You will lead a team responsible for improving risk pricing performance across a home insurance portfolio.

Responsibilities include:

  • Managing and prioritising team workloads to support profit and growth objectives.
  • Analysing policy, quote, claims, loss, and market data to identify pricing opportunities.
  • Developing new insights through the use of data, analytics, and innovative methodologies.
  • Reviewing and challenging predictive models developed by actuarial and data science teams.
  • Determining how model outputs should be combined within pricing algorithms to maximise commercial performance.
  • Identifying customer segments where pricing strategies can be enhanced.
  • Building and maintaining automated tools that generate new pricing opportunities.
  • Partnering with underwriting, actuarial, data science, data engineering, fraud, and commercial stakeholders.
  • Representing the pricing function on wider business and underwriting initiatives.
  • Coaching, mentoring, and supporting analysts within the team.
Your Skills & Experience
  • Strong experience within insurance pricing, risk analytics, or a related commercial analytics function.
  • Knowledge of general insurance principles and risk management concepts.
  • Strong coding and analytical capability, with Python experience preferred.
  • Ability to work with large, complex datasets and derive actionable business insights.
  • Experience evaluating statistical or predictive models and translating outputs into commercial recommendations.
  • Strong stakeholder management and communication skills.
  • Curious, proactive approach with a genuine interest in driving change and continuous improvement.
  • Experience leading or mentoring analysts and supporting team development.
What They Offer
  • Hybrid and flexible working arrangements.
  • Private medical insurance.
  • Matched pension contributions.
  • Life assurance and income protection.
  • Extensive wellbeing support and healthcare benefits.
  • Generous annual leave allowance with purchase and sell options.
  • Clear opportunities for career growth within a highly respected pricing and analytics function.
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