Michael (Zicong) Zhang, CFA, is a quantitative researcher at Bloomberg LP, specializing in portfolio and risk analytics, ESG investing, and systematic index construction. With extensive experience in quantitative modeling, investment strategy, and portfolio management from a corporate governance and risk management perspective, they previously worked as a quantitative researcher at ISS and as a grader for the CFA Institute. Michael holds an MS in Financial Mathematics from the University of Minnesota, where they also contributed as a teaching specialist. Their programming skills include proficiency in languages such as C#, Python, and R, and they have collaborated on research projects that enhance investment strategies and ESG frameworks.
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