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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.