Summary
Whit Armstrong is a fund flow researcher and quantitative developer with 18 years of experience building trading systems, fixed income models, and data-driven portfolio construction. He has moved between top-tier institutional environments—from Tudor and Highbridge to Morgan Stanley and Point72—bringing a pragmatic blend of quantitative finance and production systems expertise. Whit’s background spans hands-on model development, systematic macro strategies, and running portfolios, giving him a rare end-to-end view of research, implementation, and risk management. Based in Greenwich, CT, he pairs a multidisciplinary Vanderbilt education in economics, anthropology, math and CS with a track record of translating complex market signals into robust, deployable trading infrastructure. Notably, his career shows a pattern of bridging research and ops—turning quantitative insight into scalable trading workflows used in live environments.
18 years of coding experience
19 years of employment as a software developer
BS Economics Anthropology Math CS, BS Economics Anthropology Math CS at Vanderbilt University