Zach Warner is a quantitative researcher and Python developer with 11 years of experience building low-latency signals and tooling for equity trading, currently at DRW in Chicago. He translates academic rigor—holding a PhD from University of Wisconsin–Madison and an MPhil from Cambridge—into production-ready research and fast, reliable data pipelines. A former political scientist by training, Zach brings a unique blend of social-science inference and high-frequency engineering to alpha generation and signal validation. He maintains a GitHub archive of academic projects, reflecting a commitment to reproducibility and methodical experimentation even as his day-to-day focuses on low-latency execution.
11 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Wisconsin-Madison
Master of Philosophy - MPhil, Master of Philosophy - MPhil at University of Cambridge
Contributions:84 commits, 81 pushes, 1 branch in 2 years 11 months
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