Technical Pricing Models Manager

Gerrard White Consulting; Peterborough; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading UK General Insurer is seeking a Technical Pricing Manager to optimize retail pricing models. This role involves driving incremental lifetime value through advanced modelling techniques and mentorship of junior team members. The ideal candidate should be proficient in Python and/or R, have experience with optimisation tools like Earnix or Radar, and excel at leading teams. This position offers a hybrid working arrangement with 1-2 days per week in the office.

Qualifications

• Proven experience with Python and/or R for advanced modelling.
• Demonstrated ability to achieve commercial uplift through pricing optimisation.
• Experience leading a team and communicating effectively.

Responsibilities

• Own the end-to-end delivery of pricing models and optimisation.
• Enhance pricing processes through R&D and best practices.
• Collaborate with stakeholders to impact P&L positively.

Skills

Python

R

Advanced ML methods

Optimisation tools

Communication

Tools

Earnix

Radar

Job description

Technical Pricing Manager (Retail Pricing & Optimisation)

Hybrid, 1-2 days a week in office – Flexible

This leading UK General Insurer is hiring a Technical Pricing Manager to drive incremental lifetime value by building and optimising retail pricing models using a bespoke pricing pipeline and optimisation tooling.

Key focus

• Own end-to-end delivery of pricing models + optimisation (incl. Earnix; Radar also valued)
• Improve pricing processes, governance and performance through R&D and best practice
• Partner with Commercial Pricing and senior stakeholders to deliver P&L impact
• Lead, mentor and develop junior team members

Requirements

• Strong Python and/or R plus advanced modelling/ML methods
• Proven commercial uplift from pricing insight and optimisation
• Confident communicator and people manager
• Experience with optimisation tools such as Earnix (or Radar); other pricing platforms welcomed
• Comfortable applying advanced ML methods to pricing problems (e.g., GBMs, modern feature engineering, robust validation)

Please send your CV for immediate consideration.