John Bennett is a finance expert specializing in derivatives, quantitative trading, and macroeconomic analysis. He holds a Ph.D. in Finance from Harvard University, an M.S. in Finance from MIT Sloan, and a B.A. in Economics & Mathematics from Columbia University.
His career spans top financial institutions, including Goldman Sachs, where he worked as a Senior Trader focusing on volatility arbitrage and algorithmic trading. At Morgan Stanley, he served as a Derivatives Analyst, specializing in options pricing and risk management. Later, as a Portfolio Manager at Bridgewater Associates, he managed multi-asset investments using quantitative models and macroeconomic strategies.
Currently, Bennett is a Professor of Finance at the University of Chicago Booth School of Business, where he teaches derivatives, asset pricing, and quantitative finance while conducting research on market microstructure and algorithmic trading.
With expertise in options pricing, quantitative strategies, and portfolio optimization, Bennett is a recognized thought leader in finance, bridging academia and industry.
2025 Celtic Finance Institute Session Chief Practical Instructor Competition and Selection
Voting period:Mar 15, 2025, to Mar 15, 2030
2
Total Voted
Arjun Iyer
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Arjun Iyer is a finance and technology expert specializing in quantitative trading, algorithmic investing, and cryptocurrency markets. He holds a degree in Computer Science & Financial Engineering from Stanford University and an MBA in Quantitative Finance from Harvard Business School.
He started his career at UBS as an equity research analyst, focusing on global tech, finance, and consumer markets. At J.P. Morgan, he led research in AI, semiconductors, and fintech, developing data-driven trading strategies. Later, at Virtu Financial, he worked on high-frequency trading and algorithmic execution.
Currently, Iyer is a Crypto Asset Analyst at Galaxy Digital, where he develops automated trading models for DeFi, NFTs, and Web3 assets. He specializes in on-chain data analytics, machine learning-driven market predictions, and institutional crypto portfolio optimization.
With deep expertise in quantitative finance, AI-driven investing, and blockchain technology, Iyer is a key figure in merging traditional finance and digital assets. As an instructor at Celtic Finance Institute, he educates investors on advanced financial strategies.
0
Total Voted
John Bennett
John Bennett is a finance expert specializing in derivatives, quantitative trading, and macroeconomic analysis. He holds a Ph.D. in Finance from Harvard University, an M.S. in Finance from MIT Sloan, and a B.A. in Economics & Mathematics from Columbia University.
His career spans top financial institutions, including Goldman Sachs, where he worked as a Senior Trader focusing on volatility arbitrage and algorithmic trading. At Morgan Stanley, he served as a Derivatives Analyst, specializing in options pricing and risk management. Later, as a Portfolio Manager at Bridgewater Associates, he managed multi-asset investments using quantitative models and macroeconomic strategies.
Currently, Bennett is a Professor of Finance at the University of Chicago Booth School of Business, where he teaches derivatives, asset pricing, and quantitative finance while conducting research on market microstructure and algorithmic trading.
With expertise in options pricing, quantitative strategies, and portfolio optimization, Bennett is a recognized thought leader in finance, bridging academia and industry.
2
Total Voted
Arjun Iyer
Arjun Iyer is a finance and technology expert specializing in quantitative trading, algorithmic investing, and cryptocurrency markets. He holds a degree in Computer Science & Financial Engineering from Stanford University and an MBA in Quantitative Finance from Harvard Business School.
He started his career at UBS as an equity research analyst, focusing on global tech, finance, and consumer markets. At J.P. Morgan, he led research in AI, semiconductors, and fintech, developing data-driven trading strategies. Later, at Virtu Financial, he worked on high-frequency trading and algorithmic execution.
Currently, Iyer is a Crypto Asset Analyst at Galaxy Digital, where he develops automated trading models for DeFi, NFTs, and Web3 assets. He specializes in on-chain data analytics, machine learning-driven market predictions, and institutional crypto portfolio optimization.
With deep expertise in quantitative finance, AI-driven investing, and blockchain technology, Iyer is a key figure in merging traditional finance and digital assets. As an instructor at Celtic Finance Institute, he educates investors on advanced financial strategies.
