Keda Song

Keda Song is a skilled Senior Software Engineer and Quantitative Engineer at Boosted.ai, with previous experience as a Quantitative Analyst at OMNI Risks Management and a Consultant at Societe Generale Corporate and Investment Banking. Keda also worked as a Quantitative Research Intern at InfiniteQuant, focusing on developing market making strategies in the Crypto market. Keda has a Master's degree in Financial Engineering from NYU Tandon School of Engineering and holds Bachelor's degrees in Computer Science and Finance from Wuhan University. During their time at New York University, Keda worked on research projects involving the use of Genetic Algorithm to optimize portfolios and co-authored a paper titled "Implied Mortality for Firm: Market Tells the Tail".