Kurt Ehlert is a quantitative researcher with 11 years of experience applying stochastic processes, optimization, and statistical methods to trading and research problems. He currently develops quantitative models for a cryptocurrency proprietary trading firm after building market-facing strategies at Virtu Financial. His PhD work focused on Monte Carlo methods for continuous-time Markov chains, where he created a notably faster estimator for probability densities, and he has strong C++ systems experience from building simulation and messaging infrastructure. Comfortable bridging theory and production, he has applied nonparametric estimation, sensitivity analysis, multi-level and quasi-Monte Carlo techniques to real-world problems. Based in Raleigh, NC, he pairs rigorous academic training with hands-on implementation of high-performance simulation code and data pipelines. Beyond finance, his background spans genetics and neuroscience, reflecting an interdisciplinary approach to modeling complex systems.
11 years of coding experience
8 years of employment as a software developer
Bachelor's Degree, Mathematics and Neuroscience (double major), GPA: 3.85, Bachelor's Degree, Mathematics and Neuroscience (double major), GPA: 3.85 at University of Wisconsin-Madison
Bachelor's Degree, Applied Mathematics, Bachelor's Degree, Applied Mathematics at Illinois Institute of Technology
Contributions:17 commits, 30 pushes, 1 branch in 3 months
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