Senior Pricing Strategist – Data-Driven, Hybrid

Vermelo RPO

Manchester

Hybrid

GBP 55,000 - 75,000

Full time

10 days ago

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Job summary

Vermelo RPO is recruiting for a Senior Pricing Analyst to join our pricing function across personal lines. The role focuses on designing pricing strategies, building predictive models, and delivering insights that influence profitability.

Ideal candidates will have strong coding skills (Python, R, SQL, PySpark, SAS) and experience with GLMs/GBMs and clustering. Hybrid/remote work options are available within the UK.

Qualifications

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

Responsibilities

  • Design and optimise pricing solutions aligned to business goals.
  • Develop and maintain performance monitoring frameworks and risk models.
  • Conduct in-depth analysis using predictive modelling to influence pricing decisions.
  • Collaborate with cross-functional teams (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.

Skills

Python
R
SQL
PySpark
SAS
GLMs
GBMs
Decision Trees
Neural Nets
Clustering
Pricing

Tools

Radar (WTW)
Emblem (WTW)

Job description

Vermelo RPO is recruiting for a Senior Pricing Analyst to join our pricing function across personal lines. The role focuses on designing pricing strategies, building predictive models, and delivering insights that influence profitability.

Ideal candidates will have strong coding skills (Python, R, SQL, PySpark, SAS) and experience with GLMs/GBMs and clustering. Hybrid/remote work options are available within the UK.

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