Lead Risk Pricing Analyst

Are you ready to influence the future growth and profitability of a leading insurance company? As a Lead Risk Pricing Analyst - Non-Standard Motor (Specialist Car, Van and Bike) you will plan and deliver pricing projects to high standards, using sophisticated actuarial and statistical techniques.

• Location: London
• Category: Non-life Actuarial
• Type: Permanent

Key responsibilities including but not limited to:

• Management, development and coaching of Pricing Analysts and Senior Pricing Analysts.
• Develop, validate, review and approve predictive and machine learning models
• 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 recommendations 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
• Execution, development and project management across all stages of the price control cycle as required
• Degree educated (or equivalent) in a numerical or analytical discipline, demonstrating strong quantitative capability.
• 4-5 years experience in insurance pricing, with the ability to apply insight to real world business challenges.
• Proficient in key programming languages such as SAS, Databricks, with the ability to manipulate and interpret complex datasets.
• Hands on experience with industry-standard tools, including Emblem and Radar.
• A strong problem-solver, able to use data and analytics to tackle complex business issues and deliver actionable recommendations.
• Experienced in coaching and developing junior team members, helping to build capability and strengthen pricing expertise within the team.
• Confident influencing stakeholders at all levels, including senior management and directors, with the ability to shape thinking and support key decisions.
• Able to communicate advanced statistical and modelling concepts clearly, translating technical analysis into meaningful insights for non-technical audiences.