Role: Senior Analyst - Catastrophe Analytics Duration: Permanent - Full Time Shift: 2:30PM - 10:30PM Work Mode: Hybrid Location: Bangalore, KA / Mumbai, MH We are seeking a detail-oriented and analytically driven Senior Analyst to join our client's Catastrophe Analytics team. In this role, you will model insurance exposures for small to mid-sized books of business, helping insurers understand and manage their catastrophe risk. You’ll work with leading tools such as RMS RiskLink, AIR Touchstone, CoreLogic RQE, and proprietary modeling platforms to deliver actionable insights. This position works with international stakeholders, evolving technologies, and projects with dynamic timelines. It’s ideal for professionals who are curious, adaptable, and ready to deepen their expertise in catastrophe risk modeling. What You'll Do in The Job • Prepare and clean data using SQL and Excel to ensure modeling accuracy. • Analyze exposures by geocoding data, setting appropriate modeling assumptions, and quantifying catastrophe loss potential. • Run catastrophe models (RMS, AIR, CoreLogic) and proprietary platforms to generate probabilistic loss estimates. • Create clear reports and visuals using tools like SpatialKey, ArcGIS, and internal platforms for exposure and loss summaries. • Conduct sensitivity analyses to understand the impact of input changes on model outputs. • Support renewals and client requests by coordinating with onshore analysts and delivering accurate, timely outputs. • Assist senior team members on complex accounts and continuously learn advanced modeling concepts. Requirements What You Need to Qualify • Graduate/Postgraduate in a quantitative discipline – Mathematics, Statistics, Economics, Engineering, or related. • SQL & Excel (Intermediate–Advanced; VBA experience a plus) • Understanding of catastrophe model frameworks (RMS RiskLink, AIR Touchstone, CoreLogic RQE) • Treaty and policy terms coding, including sublimits and layered structures • GIS tools such as ArcGIS or SpatialKey • Basic programming (R, Python, or MATLAB) preferred • Knowledge of probability distributions, financial modules, and sensitivity analysis techniques Core Competencies • Strong analytical thinking and problem-solving skills • Excellent verbal and written communication • Effective time and stakeholder management • Ability to adapt to evolving priorities and work in a collaborative team environment