Sr. Risk Analyst

Job Description

Are you passionate about solving complex risk challenges?Do you thrive in a fast-paced environment where data-driven insights influence multi-million-dollar decisions? We are seeking a highly motivated and analytical Reinsurance Treaty Catastrophe Modeler to join our dynamic and growing team In this role, you'll play a pivotal part in shaping our Insurance Linked Securities (ILS) portfolio, using cutting-edge catastrophe models to assess risk and profitability This is an exciting opportunity for an experienced catastrophe modeler who wants to make a real impact Your Impact :Analyze various structures like Catastrophe Bonds (CAT Bonds), collateralized reinsurance (CRI), size cars, Industry Loss warranties (ILW), parametric insurance for pricingAnalyze and model complex reinsurance treaties (e.g, proportional, non-proportional, retrocessional) using industry-standard catastrophe models (e.g, Verisk Touchstone/Touchstone Re, RMS Risk Link)Prepare, validate, and quality-assure exposure data for input into catastrophe models, ensuring accuracy and completeness Execute catastrophe models, interpret results (e.g, exceedance probability curves, average annual loss, return periods), and identify key risk drivers Participate in the validation and enhancement of catastrophe models, including model parameterization and calibration Stay abreast of industry trends, new modeling techniques, and emerging risks Participate in projects to help shape and define the company's view of risk for natural catastrophe perils Successful Candidates Will Have:3+ years of catastrophe modeling experience in the reinsurance industry Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, Engineering, or a related quantitative discipline Proficiency in at least one major catastrophe modeling platform (Verisk/RMS) Strong understanding of reinsurance structures, treaty pricing, and underwriting principles Advanced analytical skills, including experience with SQL (preferred), Python, for data manipulation and analysis Strong grasp of statistical modeling concepts (return periods, probability distributions, extreme value theory)