The role Sitting within the Underwriting Performance function, we are looking for a candidate with strong analytical skills, commercial expertise and management experience to lead Underwriting Analytics for syndicate 1856. This will involve line management for our Data and Analytics analysts (c. 4-5) and collaboration with senior underwriters, pricing and the capital team. Key responsibilities Lead the Underwriting Analytics Function: Set the strategic vision for underwriting analytics to support profitable underwriting and portfolio optimisation. Develop and deliver analytical frameworks, tools and insights that drive informed underwriting decisions. Team Leadership and development: Manage, mentor and develop the data and analytics analysts, fostering a high-performance culture Collaborate with senior underwriters to manage the pipeline of analytical projects within the underwriting function Drive collaboration across the analysts to ensure consistency of approach across classes and divisions Ensure work is undertaken on the highest value tasks Provide thought leadership and development for IQUW’s analyst community Portfolio Management and Portfolio Insight: Feed insight into the Active Portfolio Management framework at IQUW Support identification of trends, issues and opportunities Provide deep-dive analyses to support underwriting reviews or remediation actions Build and enhance portfolio monitoring capabilities Champion data quality and usage Act as key user of underwriting data, helping identify data issues, specifying fixes and improvements and partnering with Ops/ Data teams to ensure underwriting information is accurate and timely. Work with underwriters to introduce meaningful segmentation and external data to improve risk selection and pricing adequacy The above duties and responsibilities are not an exhaustive list and you may be required to undertake any other reasonable duties compatible with your experience and competencies. This description may be varied from time to time to reflect changing business requirements. Essential qualifications, skills and experience Demonstrated capability in managing and developing a team Ability to implement and build optimisation algorithms with a sound understanding of the underlying mathematics. Advanced skill in using data manipulation & statistical software packages such as Python, R and SQL. Knowledge and skills relating to the management of insurance data. Strong written and face to face communication skills to influence underwriting decisions and explain complex analysis to non-technical audiences Leadership skills and the ability to work at a senior level. Benefits Competitive Benchmarked Salary 25 days holiday Discretionary bonus scheme Employee assistance programme Annual holiday buy (up to 3 extra days) Salary sacrifice benefits Annual benefits reviews The option for professional qualifications and study support Additional Information A full job description can be seen here .