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.