Summary
Stephen Helms is a quantitative developer and AI champion with 12 years of experience translating messy, heterogeneous data into production-grade models and tooling for low-latency trading. Based in Amsterdam, he combines a research scientist’s rigor—holding a PhD and a background in high-throughput behavioral modeling—with hands-on engineering in Python, SQL, time-series databases and ML to optimize trading system performance and exchange dynamics. At Optiver he’s built latency optimization techniques, forecasting models, monitoring products and interactive analytics, and he teaches and mentors colleagues globally on using data to understand trading performance. He also drives AI initiatives to scale team capacity, bridging research, production deployment, and developer training. Notably, his trajectory from academic modeling of biological systems to real-time finance gives him a deep appreciation for stochastic processes and efficient, scalable data pipelines.
12 years of coding experience
14 years of employment as a software developer
BS Biology Honors, BS Biology Honors at Indiana University Bloomington
PhD Cell Regulation Signal Transduction, PhD Cell Regulation Signal Transduction at UT Southwestern Medical Center
Spanish, English, Dutch