Gurraj Sangha

Gurraj Sangha is the Chief Quantitative Investment Officer at Token Metrics Inc and a Partner at Token Metrics Ventures, a cryptocurrency hedge fund, where he leads a team of quantitative analysts and data scientists in deploying quantitative alpha-generating strategies in the blockchain arena across a wide variety of digital assets. Previously, he served as the Global Head of Data Science, Risk, and Market Intelligence at State Street Verus where he helped lead a risk and investment strategy team in developing an artificial intelligence platform that integrated machine learning, natural language processing, portfolio and risk management, and human experiences to explore connections and extract relevant insights between market-moving events and multi-asset class portfolios. Mr. Sangha is an accomplished global macro portfolio manager, strategist, and risk manager, with over 20 years’ experience. He has advised firms on developing quantamental approaches to trading --- strategies at the intersection of structural, statistical, and fundamental trading, utilizing data science, machine learning on both structured and unstructured data, and behavioral analytics. Further, he has led several investment strategy and risk management teams and held a number of senior positions, including Chief Investment Strategist at a $6 billion global macro volatility hedge fund, and Senior Global Macro Trader at a $400 million hedge fund. Mr. Sangha began his career at Goldman, Sachs & Co. in the Global Investment Research Division. He received honors at the International Mathematics Olympiad, served on the Canadian Mathematics Olympic Team, and is a Magna Cum Laude graduate of Brown University.