Summary
Alex Filiakov is a Senior Actuarial Analyst in New York with a decade of experience applying software and data science to casualty pricing, reserving, and capital modeling. He blends pure-math rigor with practical engineering—rewriting COBOL mainframe ratemaking into an agile AWS/Jupyter workflow, building GLM frameworks and Bornhuetter-Ferguson pipelines, and delivering tools that speed analytics 10x. Comfortable across Python, R, SQL, Tableau and VBA, he has led cross-functional modernization efforts for carriers and brokers and modeled novel exposures like Cyber using Bayesian blending and ML. An ACAS pursuing FCAS, he shares technical writing on Bayesian methods and even writes speculative fiction about the future of risk, reflecting a rare combination of analytical depth and creative curiosity.
11 years of coding experience
16 years of employment as a software developer
B.S. Mathematics (pure mathematics track), B.S. Mathematics (pure mathematics track) at University of Minnesota
Academy for Business and Computer Technology, Academy for Business and Computer Technology at Bergen County Academies