Satish Ramaswamy

Satish Ramaswamy is the Head of Quantitative Research and a Partner at Seldon Capital LP, based in Miami, FL. In this role, he leads the firm’s quantitative investment strategy, overseeing the development and application of advanced machine learning algorithms and financial models to optimize portfolio construction and risk management. His efforts are focused on research-driven, scientific approaches to long-term fundamental forecasting for a diverse institutional client base, specifically within the finance sector.

Satish’s investment expertise centers on the intersection of quantitative analysis, engineering, and financial technology, with hands-on experience in equities, macro strategies, and alternative asset modeling. Previously, he served as a Quantitative Analyst at Soros Fund Management, where he contributed to sophisticated multi-asset investment strategies, and as Chief Product Officer at MoneyLion, where he developed fintech products that leveraged data science to address personal finance challenges.

He holds an S.B. in Mathematics, an S.B. and M.Eng. in Electrical Engineering & Computer Science from the Massachusetts Institute of Technology, underpinning his strong foundation in mathematics, computer science, and statistical modeling. His notable achievements include pioneering machine learning-driven research at Seldon Capital and driving product innovation in fintech, making him a recognized technical leader in quantitative investment management.