Vikram Bhatt

1

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Vikram Bhatt

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Vikram Bhatt is a seasoned financial analyst and quantitative researcher with expertise in both traditional finance and cryptocurrency markets. He holds a degree in Computer Science and Financial Engineering from MIT and an MBA in Quantitative Finance from the University of Chicago Booth School of Business.

He began his career at Morgan Stanley as an equity research analyst, specializing in technology, finance, and consumer sectors. Later, at Goldman Sachs, he led research in AI, semiconductors, and fintech, developing data-driven trading strategies. Transitioning to Jump Trading, he focused on high-frequency trading, algorithmic models, and machine learning for market predictions.

Currently, as a Programmatic Crypto Asset Analyst at Pantera Capital, he specializes in DeFi, NFTs, and Web3 investments, leveraging AI-driven models to analyze blockchain data and optimize trading strategies.

Bhatt’s expertise spans quantitative trading, data analytics, and algorithmic finance, making him a key figure in the fusion of fintech and investment. As an instructor at Digital Finance Academy, he educates investors on modern financial markets and crypto innovations.

2025 Digital Finance Academy Session Chief Practical Instructor Competition and Selection

Voting period:Mar 15, 2025, to Mar 15, 2030

Damien Fitzgerald

2

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Damien Fitzgerald

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Damien Fitzgerald is a distinguished finance professor and market analyst with extensive experience in academia and the financial sector.

He holds a Ph.D. in Finance from Stanford University and a B.A. in Economics from the University of California, Berkeley. Currently, he serves as a professor at the Wharton School, University of Pennsylvania, where he teaches courses on behavioral finance, high-frequency trading, and financial crises. His research focuses on market efficiency, asset pricing models, and investor behavior, with numerous publications in top-tier academic journals.

Before academia, Fitzgerald had a successful career in the financial industry. He was a senior market analyst at the New York Stock Exchange (NYSE), where he specialized in stock market trends, quantitative analysis, and risk assessment, particularly during the 2008 financial crisis. He also served as a research analyst at Morgan Stanley, providing in-depth analysis of equities, derivatives, and macroeconomic trends.

Earlier in his career, Fitzgerald worked as a derivatives trader at Goldman Sachs, where he accurately anticipated market downturns and implemented hedging strategies that yielded substantial returns. He also gained experience as a proprietary trader at a global capital management firm, focusing on forex, options, and commodity futures. Additionally, as a quantitative analyst at BlackRock, he developed algorithmic trading models and optimized portfolio strategies.

His research interests include behavioral finance, high-frequency trading, risk management, and financial crisis forecasting. With a blend of academic expertise and real-world experience, Fitzgerald is a recognized thought leader in the field of finance.

1

Total Voted

Vikram Bhatt

Vikram Bhatt is a seasoned financial analyst and quantitative researcher with expertise in both traditional finance and cryptocurrency markets. He holds a degree in Computer Science and Financial Engineering from MIT and an MBA in Quantitative Finance from the University of Chicago Booth School of Business.

He began his career at Morgan Stanley as an equity research analyst, specializing in technology, finance, and consumer sectors. Later, at Goldman Sachs, he led research in AI, semiconductors, and fintech, developing data-driven trading strategies. Transitioning to Jump Trading, he focused on high-frequency trading, algorithmic models, and machine learning for market predictions.

Currently, as a Programmatic Crypto Asset Analyst at Pantera Capital, he specializes in DeFi, NFTs, and Web3 investments, leveraging AI-driven models to analyze blockchain data and optimize trading strategies.

Bhatt’s expertise spans quantitative trading, data analytics, and algorithmic finance, making him a key figure in the fusion of fintech and investment. As an instructor at Digital Finance Academy, he educates investors on modern financial markets and crypto innovations.

2

Total Voted

Damien Fitzgerald

Damien Fitzgerald is a distinguished finance professor and market analyst with extensive experience in academia and the financial sector.

He holds a Ph.D. in Finance from Stanford University and a B.A. in Economics from the University of California, Berkeley. Currently, he serves as a professor at the Wharton School, University of Pennsylvania, where he teaches courses on behavioral finance, high-frequency trading, and financial crises. His research focuses on market efficiency, asset pricing models, and investor behavior, with numerous publications in top-tier academic journals.

Before academia, Fitzgerald had a successful career in the financial industry. He was a senior market analyst at the New York Stock Exchange (NYSE), where he specialized in stock market trends, quantitative analysis, and risk assessment, particularly during the 2008 financial crisis. He also served as a research analyst at Morgan Stanley, providing in-depth analysis of equities, derivatives, and macroeconomic trends.

Earlier in his career, Fitzgerald worked as a derivatives trader at Goldman Sachs, where he accurately anticipated market downturns and implemented hedging strategies that yielded substantial returns. He also gained experience as a proprietary trader at a global capital management firm, focusing on forex, options, and commodity futures. Additionally, as a quantitative analyst at BlackRock, he developed algorithmic trading models and optimized portfolio strategies.

His research interests include behavioral finance, high-frequency trading, risk management, and financial crisis forecasting. With a blend of academic expertise and real-world experience, Fitzgerald is a recognized thought leader in the field of finance.

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