Joe Vanderstelt is a results-oriented leader and managing partner based in New York with 8 years of experience applying quantitative methods, machine learning, and full-stack engineering to optimize P&L at fintech and systematic trading firms. He has progressed from quantitative analyst and data scientist roles at GM Financial to engineering and director-level positions, most recently leading IQ Data Science and serving as Chief Data Scientist at IQVentures. Joe combines hands-on software and database engineering with cloud deployment expertise to move models from research into production and scale data-driven decisioning. His background includes portfolio and risk-focused roles at Highbridge and CURO, giving him deep domain knowledge in systematic trading and consumer finance. Notably, he bridges technical and business priorities—designing custom systems that directly influence trading outcomes rather than only building models in isolation.
8 years of coding experience
8 years of employment as a software developer
University of Michigan
Master of Science - MS, Master of Science - MS at University of Chicago
Contributions:25 commits, 24 pushes, 1 branch in 1 day
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