Raj Patel

Raj Patel is a Quantitative Researcher at Freestone Grove Partners in New York, specializing in research and model development for systematic investment strategies. At Freestone Grove Partners, he focuses on quantitative analysis across liquid asset classes, with a particular emphasis on equities, derivatives, and credit instruments. His work involves leveraging advanced statistical and machine learning techniques to optimize portfolio construction and risk management frameworks.

Previously, Raj was a Quantitative Researcher at Citadel, where he developed and implemented predictive models for trading and risk, contributing to multi-asset strategies. His experience also includes a role as Research Associate at AQR Capital Management, where he concentrated on asset pricing and factor-based investments for institutional portfolios. Throughout his career, he has demonstrated expertise in applying machine learning and deep learning to financial markets, as evidenced by multiple scholarly contributions in areas such as option pricing and high-dimensional time series modeling.

Raj holds a Bachelor of Science in Engineering in Operations Research and Financial Engineering from Princeton University. He is recognized for his published research on generative models and neural networks in finance, underlining his commitment to innovative solutions for quantitative asset management.