Summary
Bryan Butler is a catastrophe risk and data science leader with 11 years’ experience applying machine learning, time series, Markov chains and Monte Carlo simulation to reinsurance, capital modeling and exposure management across Lloyd’s, Bermuda and the US. He has built end-to-end pricing and analytics platforms, reduced quote times from days to hours, and optimized a $1.7B reinsurance portfolio to save $400M in capital while increasing premium retention. Bryan has delivered novel models—such as an early stochastic hurricane model for Gulf oil platforms—and validated commercial catastrophe models for Solvency II and S&P ERM reviews. His analytics work spans NLP for product feedback, churn and cancellation forecasting (improving accuracy to >95%), and unlocking $25M in revenue by predicting plaintiff class actions for professional liability. Equally comfortable in technical and leadership roles, he pairs an MBA and scientific training with hands-on SQL, Python/R and VBA development and a Top-13% Stack Overflow presence. Based in Boston, he now leads catastrophe risk strategy as Director while continuing to bridge quantitative research and production engineering.
11 years of coding experience
B.S. Applied Science, B.S. Applied Science at United States Coast Guard Academy
Zero To Mastery Academy
MS Chemistry, MS Chemistry at University of Connecticut
MBA Finance/Economics, MBA Finance/Economics at University of Rochester - William E. Simon School of Business