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Pricing Analyst

Job in Peterborough, Cambridgeshire, PE1, England, UK
Listing for: Markerstudy Group
Full Time position
Listed on 2026-10-29
Job specializations:
  • Business
    Actuary, Financial Analyst
Salary/Wage Range or Industry Benchmark: 45000 - 65000 GBP Yearly GBP 45000.00 65000.00 YEAR
Job Description & How to Apply Below

Pet Pricing Analyst

Locations: Peterborough, Manchester, Stoke, Southport, Kent, London, Cambridgeshire (Hybrid/Remote options available)

Department: Retail Pricing

Hybrid and largely remote options available

Join a fast-paced, innovative Retail Pet Pricing team where your pricing expertise will have a direct and visible impact on trading performance, profitability, and growth. Working across a suite of well‑known pet insurance brands, you’ll help shape pricing strategies that genuinely make a difference to pets and their owners, commercial outcomes, and market position.

About the Roles

We’re looking for talented individuals to join our growing Pricing function. Whether you’re deep into data modelling or ready to lead pricing strategies and performance frameworks, we have the right opportunity for you.

Key Responsibilities Include:
  • Design, optimise and implement retail pet pricing solutions aligned to business goals
  • Develop and own trading performance and monitoring frameworks, translating insight directly into pricing actions
  • Conduct in-depth analysis using predictive modelling to influence pricing decisions
  • Collaborate with cross-functional teams (Net pricing, Underwriting, Technical Modelling, Data)
  • Champion innovation, continuous improvement, and pricing best practice
  • Lead or contribute to strategic initiatives and tactical pricing interventions
  • Coach and mentor junior analysts
About You

We’re looking for curious, data-driven minds with the following experience:

  • Proven experience in General Insurance Pricing (Pet insurance preferred)
  • Exposure to or expertise in WTW’s Radar or Emblem software
  • Strong coding skills in Python, R, SQL, PySpark and SAS
  • Experience with modelling techniques (GLMs, GBMs, Decision Trees, Neural Nets, Clustering)
  • Excellent communication skills — both written and verbal — with a commercial mindset
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