Pricing Analyst

Posted 6 days ago by Harnham - Data & Analytics Recruitment
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SENIOR PORTFOLIO PRICING ANALYST (INSURANCE)

UP TO £45,000

LONDON OR MANCHESTER

This role does not offer sponsorship.

This is an exciting new opportunity to join the company's rapidly growing personal lines underwriting team. You will be able to progress in a fast-growing company and drive strategy from pricing models.

THE COMPANY

This company is one of the largest and fastest growing insurance brokers in the UK and Ireland insurance market. They have over 100 combined years of experience in the insurance broking space and offer specialist motor, home, bike, and pet insurance. They work with over 2.6 million customers.

THE ROLE

You will be doing the following daily:

  • Carrying out continual improvements on pricing analysis methodology and practices to improve the companies pricing capabilities.
  • Analysing and monitoring loss ratios, performance metrics, and rate strength, as well as other account performances.
  • Carrying out pricing analysis, through predictive risk, residual modeling, and developing pricing recommendations.
  • Assessing the affect of rate change impacts through predictions through to post-deployment review.
  • Build and maintain relationships with stakeholders. You will act as a pricing and performance representative on your specific product lines.
  • Collaborate with internal teams.

YOUR SKILLS AND EXPERIENCE

  • Knowledge of predictive modelling techniques including GLM and GBM and / or ML techniques.
  • Experience using Emblem or Radar software and having built/developed Radar models.
  • Strong knowledge of UK Personal Lines Insurance markets.
  • Proficiency in programming languages: SAS, SQL, Python, R.
  • Excellent written and verbal communication skills.

THE BENEFITS

  • Up to £45,000 salary.
  • Flexible/hybrid working.
  • Benefits package.
  • Contributory pension scheme with a generous employer contribution.

HOW TO APPLY

Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.

Reference: 52466689

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