Glen Nixon

Glen Nixon is an Algorithmic Trader at Simplex Trading LLC, a Chicago-based proprietary trading firm recognized as a leader in US equity options market making. In his current role, Glen is responsible for designing and implementing automated trading strategies, with a focus on high-frequency trading in equity options and related derivatives markets. He applies advanced quantitative models and technology-driven solutions to optimize trading performance and manage risk across a portfolio of liquid US-listed securities, specifically in equity options markets.

Prior to joining Simplex Trading in 2025, Glen served as a Quantitative Researcher at Citadel Securities (2021–2024), where he developed systematic strategies and conducted research on market microstructure and pricing for equities and derivatives. He completed a non-compete period at Citadel Securities before joining Simplex. Glen’s expertise spans algorithmic trading, quantitative research, and electronic market making, with a deep knowledge of structuring and optimizing equity and options strategies in major US markets.

Glen holds a degree in Physics from Princeton University and a Bachelor of Science in Physics and Mathematics from Purdue University. His academic background provides a strong foundation in quantitative analysis, probability theory, and computational methods—all central to his work in trading strategy design. Glen’s significant contribution to the investment industry lies in his ability to bridge quantitative research with real-time algorithmic execution, helping his firms maintain a competitive edge in fast-moving electronic markets.