Hey, it’s Matt. This week on AI Street Markets:
🎙️ An interview with QuantStreet co-founder, Harry Mamaysky, on how he’s using both traditional AI and LLMs to guide investment decisions.
INTERVIEW
Harry Mamaysky straddles two worlds: academia and markets.
A professor at Columbia Business School, he teaches and researches in areas spanning quantitative investing, fixed income, and machine learning. At the same time, he’s co-founder of QuantStreet, a wealth management and analytics firm that applies systematic, data-driven models to asset allocation. Before academia, Mamaysky spent more than a decade trading credit on Wall Street, an experience that helped shape his view of risk, modeling, and the limits of traditional investing approaches.
In our conversation, Mamaysky, who has a PhD in finance from MIT, explains how QuantStreet uses AI in practice, where the models fall short, and why he sees them as tools to make investors more efficient rather than replacements for human judgment. He al…
