Co-CIO Greg Jensen and Bridgewater’s Chief Scientist of AIA Labs and Head of Machine Learning, Jasjeet Sekhon, are named among the top "AI experts to know at some of Wall Street’s biggest hedge funds” by Business Insider. They are recognized for their distinct contributions and innovative approach to AI at Bridgewater, significantly impacting the future of the financial services industry.
As industries continue to innovate to take advantage of ongoing evolutions with AI/ML technology, interest and investment in these tools continue to expand across industries. This list recognizes top executives and technologists on Wall Street who are leading these transformative efforts within their firms to improve their operating efficiency or seek to generate alpha.
Since joining Bridgewater in 1996, Greg Jensen has been a pioneer in exploring the application of machine learning in financial markets, dedicating years to facilitating an integrated shift towards AI-assisted research, insights, and investment decisions. Greg was named one of business's rising stars in Fortune Magazine's "Top 40 Under 40" from 2010 to 2012, and his recent inclusion in Business Insider's "AI 100: The Top People in Artificial Intelligence" in 2023 further solidifies his influence in shaping the future landscape of AI within the financial sector. As co-CIO, Greg continues to be a driving force overseeing Bridgewater's investment strategies and research efforts. His responsibilities extend to systemizing Bridgewater's research into trading strategies, managing proprietary investment models, directing client strategies, and delivering timely market insights through Bridgewater's Daily Observations — a role he has excelled in since joining the firm.
Jasjeet (Jas) Sekhon, who joined Bridgewater in 2016, has made small data problems, particularly those encountered in financial markets, the focal point of his career. As an internationally renowned expert, Jas specializes in creating new methods for causal inference and developing interpretable and credible machine-learning techniques for estimating causal relationships. He is also the Eugene Meyer Professor at Yale University and has published many influential research papers and produced methods that are widely used in industry, which are part of AI/ML platforms at Amazon, Google, Microsoft, and Netflix, among others. Before Yale, Jas was the Robson professor at UC Berkeley. He earned his Ph.D. at Cornell University and his undergraduate degree at the University of British Columbia in Canada.
Learn more about the recognition here.