Senior Pricing Analyst - Strategic

🔒 Confidential Employer
Posted 20 April 2026
LOCATION
Eastleigh
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£45,000 / year
CATEGORY
Finance
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Emblem Radar Actuarial Science Statistics Data Analysis SAS R Python

FULL DESCRIPTION

[Employer hidden — view at passion-project.co.uk] have an exciting opportunity for a Senior Pricing Analyst to join the Strategic Pricing Team. [Employer hidden] is in the process of delivering wholesale improvement to its pricing sophistication, performance management capability and technical excellence, in order to successfully compete in the home insurance market and as such you will be at the forefront in delivering this strategy. You will support the monitoring of performance and contribute to the profitable development of [Employer hidden]’ Household portfolio, through control of pricing.

Main Responsibilities as Senior Pricing Analyst - Strategic:

  • Develop validate and review predictive models including machine learning models.
  • Run data for modelling, pricing and monitoring.
  • Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring.
  • Development and maintenance of pricing models and support for their deployment.
  • Carry out pricing analyses and prepare options for senior stakeholders.
  • Carry out deployment/send instructions for rate releases and review of rates into rate engine/live environment.
  • Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets.
  • Maintenance of records to coordinate pricing decisions and implementation across teams, decision making bodies and implementation pathways.
  • Execution, development and project management across all stages of the price control cycle as required.

Skills and experience you need as Senior Pricing Analyst - Strategic:

  • Experience of using Emblem or Radar,
  • A good quantitative degree, e.g. in Statistics, Mathematics or Actuarial Science.
  • Experience in a relevant role in a data-driven environment.
  • Knowledge of insurance products and distributions (direct, intermediary, aggregators).
  • Experience of using statistics to explore and validate data, extract and manipulate large datasets for analysis.
  • Experienced in the use of programming language (e.g. SAS) and/or statistical packages e.g. actuarial pricing software.
  • Experienced in the use of a programming language (e.g. R, Matlab, Python or Octave).
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