Jacob Matz is an operations-focused quantitative professional with 11 years of experience applying Python and SQL to automate trade operations, risk analytics, and portfolio processes across leading firms including Jane Street, BlackRock, and Magnetar Capital. He builds production-ready scripts and models that reduce manual effort and error—migrating legacy VBA models to Python and automating P&L reconciliation and reporting for portfolios exceeding $200M AUM. Comfortable in both trading and product-facing roles, he pairs derivatives execution knowledge (Greeks, liquidity, volatility) with cross-functional collaboration to deliver enterprise hedging solutions and smoother settlements. A UIUC-trained computer scientist and economist now based in New York, he combines hands-on coding with deep financial domain expertise and a knack for translating complex quantitative analysis into client-ready recommendations.
11 years of coding experience
1 year of employment as a software developer
Economics, Economics at WU (Vienna University of Economics and Business)
Bachelor of Science - BS, Computer Science and Economics, Bachelor of Science - BS, Computer Science and Economics at University of Illinois Urbana-Champaign
Contributions:3 PRs, 18 pushes, 5 branches in 1 year 11 months
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