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Market Pricing Analyst

Job in Bournemouth, Dorset County, BH1, England, UK
Listing for: Ageas
Full Time, Part Time, Contract position
Listed on 2026-06-04
Job specializations:
  • Finance & Banking
    Financial Analyst, Financial Consultant, Actuary, Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 30000 - 40000 GBP Yearly GBP 30000.00 40000.00 YEAR
Job Description & How to Apply Below

Job Title: Market Pricing Analyst

Target

Start Date:

ASAP

Contract Type: Permanent, Part Time, Full Time, Job Share option available

Salary Range: £30,000 - £40,000

Location: Hybrid - Bournemouth once a month

Work Level: 3

Closing Date for applications: Tuesday 9th June

Hiring Manager: Nick Perrott

Market Pricing Analyst: Fantastic opportunity to use your mathematics, statistics or actuarial degree to genuinely contribute towards the future growth of the business, to increase the number of new insurance customers, retention of our existing customers and overall company income and profitability. You can expect from the outset to be making real contributions on a variety of exciting projects. The Pricing Analyst position at Ageas is a great opportunity for someone looking to grow and develop into a key contributor within our Pricing Department.

You will learn from some of the best data led individuals in the insurance industry and we will continuously support you throughout your development and future career.

Main Responsibilities:
  • Develop predictive models using traditional GLM techniques and machine learning.
  • Run data for modelling, pricing and monitoring.
  • Carry out price optimisation.
  • Deploy rates into rate engine.
  • Delivery of up to date and accurate performance reports across all brands, products and channels.
  • Tracking the performance of new price initiatives against expected results.
  • Develop a balanced view of current 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.
Skills and Experience:
  • A good numerical degree.
  • Knowledge of using statistics to explore and validate data, extract and manipulate large datasets for analysis.
  • Experienced in the use of basic analytical software, especially Excel.
  • Experienced in the use of a programming language (e.g. R, Matlab, Python or Octave).
  • Highly numerate with excellent attention to detail.
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