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Wall Street's analytics and technology are evolving at a record pace. What are the roles of quantitative models, and AI in the financial services industry today? What does it mean to be a "quant", what is a "quant fund", and what quantitative skills are required for someone starting their career on Wall Street today? Will AI and algorithms help us become smarter, or send the best and brightest to the sidelines? We explore these questions and more with Professor Harry Mamaysky of Columbia University who is the co-founder of Quant Street.
Dr. Harry Mamaysky is a partner at QuantStreet Capital, which offers investing and portfolio management services to individuals, family offices, and businesses. Harry is also a Professor at Columbia Business School, where he is the Director of the Program for Financial Studies. Harry’s research focuses on the application of natural language processing and machine learning techniques to investing. Harry is a frequent industry and academic speaker. Prior to his time at Columbia, Harry spent many years in finance practice, rising to the position of senior portfolio manager at Citigroup, where he also served on the firm’s Risk Executive Committee. Harry was a professor at the Yale School of Management, which he joined after earning his PhD in Finance from the Massachusetts Institute of Technology. He holds BS and MS degrees in computer science and a BA in economics from Brown University.
If you have been inspired by this episode and want to follow Harry or learn more, you can find him at the links below.
- https://www.linkedin.com/in/harry-mamaysky/ (LinkedIn)
- www.quantstreetcapital.com (the firm website)
- https://quantstreet.substack.com/ (Substack finance blog)
- business.columbia.edu/faculty/people/harry-mamaysky ( Columbia page)
- https://twitter.com/HMamaysky (Twitter or X)
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