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Technical Pricing Anlayst

GerrardWhite
Posted 7 hours ago, valid for a month
Location

Telford, Shropshire TF4 2SG, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position is for a Technical Pricing Analyst in a remote role with quarterly office meet-ups, offering a salary of up to £45,000 plus a package.
  • The ideal candidate should have 1-2 years of experience in insurance pricing, specifically in general insurance for personal or commercial lines.
  • Key responsibilities include managing risk pricing projects, collaborating with data teams, and developing predictive risk models to drive profitable growth.
  • Candidates should be proficient in data science tools such as R, Python, SAS, SQL, or PySpark, and familiarity with WTW’s Radar software is highly desirable.
  • The role requires strong communication skills to present complex findings clearly to both technical and non-technical stakeholders.
Technical Pricing AnalystRemoteQuarterly Office Meet upSalary up to £45,000 + PackageAre you a skilled pricing analyst with a passion for data, modelling, and delivering commercial impact? This is a fantastic opportunity to join a growing and innovative insurance business where you’ll play a key role in shaping technical pricing strategy for delegated authority products.We’re looking for a Technical Pricing Analyst who can drive improvements in risk model accuracy, collaborate with cross-functional teams, and help influence strategic decisions across the business.What You’ll Be Doing:
  • Take ownership of risk pricing projects, including model builds and regular refreshes across multiple product lines
  • Collaborate with data teams to ensure high-quality, consistent datasets for modelling
  • Develop and maintain predictive risk models to support profitable growth
  • Work closely with Underwriting and Portfolio Management to align risk appetite and innovation with pricing models
  • Support key commercial projects and act as a pricing subject matter expert (SME)
  • Present complex findings in a clear, concise way to internal and external stakeholders
  • Help shape best practice and contribute to the continuous improvement of pricing capability
Key Skills & Experience:
  • Previous experience in general insurance pricing (personal or commercial lines)
  • Skilled in predictive modelling techniques: GLMs, GBMs, Decision Trees, Random Forests, etc.
  • Proficient in data science tools such as R, Python, SAS, SQL, or PySpark
  • Familiarity with WTW’s Radar software is highly desirable
  • A strong academic background in a quantitative subject (e.g. Mathematics, Statistics, Engineering, Computer Science)
  • Ability to communicate technical analysis clearly to non-technical stakeholders
Who You Are:
  • 1-2 years of experience in Insurance Pricing
  • A logical thinker with a curious, proactive mindset
  • Passionate about innovation, efficiency, and continuous improvement
  • Comfortable working independently or collaboratively as part of a high-performing team
  • Excellent communicator with the ability to build trust and influence
Please send your CV for immediate considerationGWV Talent Solutions Limited (trading as Gerrard White Consulting and Vermelo RPO) acts as an employment agency for permanent recruitment and an employment business for the supply of temporary and contract workers. By applying for this job you accept the terms of our Privacy Policy and Terms of Service Agreement which can be found at www.gerrrardwhite.com

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

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