Summary
Edward Mitby is a senior portfolio manager and AI-focused quantitative researcher with nine years of dedicated experience building systematic macro and equity strategies at the intersection of finance and machine learning. Currently SVP leading the Quantitative Research Group at The TCW Group, he oversees systematic macro strategies, multi-asset allocation, and AI governance while drawing on a decade-plus track record managing macro correlation trades and deep-learning driven equity signals. His background blends rigorous academic training (MS in Operations Research, MS in Financial Engineering, and a Stanford Professional Certificate in AI) with hands-on engineering—Python, AWS, explainable AI and Shapley analysis—to operationalize research into production portfolios. Not obvious from the title: he moves fluidly between asset-class research and technical model stewardship, chairing governance for AI use cases as much as designing signal generation architectures. Based in New York, he combines macro instincts from earlier sell-side equity analyst roles with modern ML tooling to deliver disciplined, auditable investment processes.
9 years of coding experience
4 years of employment as a software developer
Professional Certificate in Artificial Intelligence Stanford Department of Computer Science, Professional Certificate in Artificial Intelligence Stanford Department of Computer Science at Stanford University School of Engineering
A.B cum laude Government, A.B cum laude Government at Harvard University
MS Financial Engineering, MS Financial Engineering at Columbia Engineering