Vikram Bhatt, an Indian-American, holds a Bachelor's in Computer Science & Financial Engineering from MIT and an MBA from the University of Chicago Booth School of Business. He has worked at Morgan Stanley, Goldman Sachs, and Jump Trading, specializing in equity research, quantitative trading, and high-frequency trading strategies. Currently, he is a Quantitative Crypto Asset Analyst at Pantera Capital, focusing on DeFi, NFTs, and Web3 while developing AI-driven trading systems. With expertise in both traditional and crypto markets, he excels in data-driven decision-making, algorithmic trading, and global investment strategies, shaping the future of blockchain finance.
2025 Digital Finance Academy Session Chief Practical Instructor Competition and Selection
Voting period:Mar 15, 2025, to Mar 15, 2030
2
Total Voted
John Bennett
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John Bennett holds a Ph.D. in Finance from Harvard University, an M.S. in Finance from MIT, and a B.A. in Economics & Mathematics from Columbia University. He has worked as a Senior Trader at Goldman Sachs, a Derivatives Analyst at Morgan Stanley, and a Portfolio Manager at Bridgewater Associates, specializing in equities, options, forex, and quantitative investments. His expertise includes market microstructure, asset pricing, algorithmic trading, and risk hedging strategies. Currently, he is a Professor of Finance at the University of Chicago Booth School of Business, focusing on derivatives pricing, volatility trading, and quantitative investing, bridging financial theory with real-world applications.
1
Total Voted
Vikram Bhatt
Vikram Bhatt, an Indian-American, holds a Bachelor's in Computer Science & Financial Engineering from MIT and an MBA from the University of Chicago Booth School of Business. He has worked at Morgan Stanley, Goldman Sachs, and Jump Trading, specializing in equity research, quantitative trading, and high-frequency trading strategies. Currently, he is a Quantitative Crypto Asset Analyst at Pantera Capital, focusing on DeFi, NFTs, and Web3 while developing AI-driven trading systems. With expertise in both traditional and crypto markets, he excels in data-driven decision-making, algorithmic trading, and global investment strategies, shaping the future of blockchain finance.
2
Total Voted
John Bennett
John Bennett holds a Ph.D. in Finance from Harvard University, an M.S. in Finance from MIT, and a B.A. in Economics & Mathematics from Columbia University. He has worked as a Senior Trader at Goldman Sachs, a Derivatives Analyst at Morgan Stanley, and a Portfolio Manager at Bridgewater Associates, specializing in equities, options, forex, and quantitative investments. His expertise includes market microstructure, asset pricing, algorithmic trading, and risk hedging strategies. Currently, he is a Professor of Finance at the University of Chicago Booth School of Business, focusing on derivatives pricing, volatility trading, and quantitative investing, bridging financial theory with real-world applications.
