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.
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