Description WTW is hiring a Facility Analytics Lead within its Corporate Risk & Broking segment to support exposure aggregation and limit monitoring for key facilities, including Gemini. The role involves delivering automated reporting and analytics, partnering with technology teams, and leading a small team of property exposure specialists. Responsibilities include managing exposure data processes and ensuring aggregation and limit monitoring across product lines during quoting, binding, and post-bind stages. The position offers hybrid working, with regular office attendance for meetings and workshops, plus occasional travel to engage with business and technology stakeholders. The Role: Lead small team of Facility Analytics specialists including exposure and catastrophe modelling experts. Manage and oversee India data capture processes Partner with technology teams to automate data capture and exposure reporting processes (including catastrophe modelling). Produce monthly reports for internal colleagues and carrier consortium members. Monitor the portfolio and aggregate limits. Discuss exposure and cat modelling results with consortium members. Monitor, troubleshoot and improve data quality on an ongoing basis Qualifications What you’ll bring Essential: Solid experience in exposure, aggregation and catastrophe modelling roles. Proficiency in operational reporting and status tracking Prior experience working with aggregation software (e.g. SequelImpact) Prior experience working with catastrophe modelling software (RMS RiskModeler) Understanding of Upstream Energy exposure. Prior experience of managing people and operational processes Excellent communication skills with the ability to solve problems creatively and rapidly, both independently and as part of a team. Comfortable working remotely or in face-to-face meetings with stakeholders at all levels. Bachelor's degree in a quantitative discipline (Mathematics, Data Science / Computer Science) Principle understanding of underwriting / bind processes. Strong Excel and MS PowerBI and reporting skills Basic or conceptual understanding of spatial / geographic data Understanding of Microsoft SQL and data LakeHouse technologies (e.g. Microsoft Fabric, Databricks) Experience in the financial services industry, particularly in insurance or insurance broking, or the ability to quickly adapt to a new, unfamiliar environment. Desirable: Bachelor's degree in a quantitative discipline (Mathematics, Data Science / Computer Science) Principle understanding of underwriting / bind processes. Strong Excel and MS PowerBI and reporting skills Basic or conceptual understanding of spatial / geographic data Understanding of Microsoft SQL and data LakeHouse technologies (e.g. Microsoft Fabric, Databricks) Experience in the financial services industry, particularly in insurance or insurance broking, or the ability to quickly adapt to a new, unfamiliar environment. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidate.helpdesk@wtwco.com