2019 Buy-Side Quant of the Year: Gordon Ritter

Gordon Ritter, an adjunct professor in the program, was named the Buy-Side Quant of the Year in 2019.

Gordon Ritter, an adjunct professor at New York University and former senior portfolio manager, has made significant strides in addressing market impact challenges in quantitative trading. His innovative approach involves applying reinforcement learning, a type of machine learning, to generate optimal trading strategies without relying on traditional models. By training a computer to analyze extensive datasets, simulate market impact, and make real-time decisions, Ritter aims to minimize the negative effects of market impact on trading strategies. This pioneering work is considered a valuable contribution to a burgeoning field, providing crucial insights into leveraging reinforcement learning to solve complex trading problems.

You can read about Gordon Ritter and his contributions at this link.