Summary
James Long is a Chief Technology Officer and seasoned (re)insurance executive with 15+ years applying probabilistic thinking to underwriting, portfolio risk, and stochastic modeling. He builds and parallelizes Monte Carlo and exposure-based models, architects cloud-modern data infrastructure, and moves proofs-of-concept into production while mentoring analysts in SQL, Python, and R. Comfortable both at the whiteboard with board members and in the codebase, he blends hands-on software development with strategic tech roadmapping and client-facing stewardship. His background spans underwriting to corporate risk at RenaissanceRe and leadership roles modernizing crop insurance analytics, including published work with O'Reilly. Based in Richmond, VA, he’s known for translating complex risk into clear business decisions and for treating data—dry, messy, and painful—as the core lever for innovation.
15 years of coding experience
21 years of employment as a software developer
MS Agricultural Economics, MS Agricultural Economics at University of Kentucky