Pricing Analyst (UK) - Work from home

Degree in a mathematical, actuarial, or related discipline with strong academic performance. Background in statistical, data science, general insurance, or actuarial roles. Proficiency in Python for data processing, modelling, and automation. At least 2+ years of pricing experience, ideally with hands-on experience building GBMs. Strong understanding of GI pricing, GLMs, and machine learning techniques. Demonstrated ability to extract, interpret, and visualize insights from large datasets to support data-driven decision-making. Experience with SQL (desirable).

Build and refine statistical and machine learning models to improve risk-cost estimation, loss ratio prediction, and overall pricing accuracy. Perform data analysis to support customer segmentation, performance monitoring, and model enhancements. Model quote-to-sale demand and assess the impact of proposed rating changes on loss ratios. Utilise actuarial techniques, including GLMs and advanced modelling approaches, to support pricing decisions and actuarial investigations. Produce loss ratios, valuations, and regular portfolio updates. Identify and implement innovative pricing solutions to drive policy growth and improve profitability. Contribute to the development of new financial products and enhancements to existing offerings.