Summary
Ding Zhao is a VP-level quantitative researcher and software engineer with 11 years of experience building production-grade analytics and trading infrastructure at BlackRock, currently driving strategy innovation within Quantitative Alpha. He brings a rare blend of hands-on engineering—previously as a senior engineer in ETF and index research—and applied research skills from his CMU master's in Information Networking. Ding has a track record of shipping data-driven web tools and real-time systems, from market-signal dashboards to mobile-friendly feedback and voice-driven attendance classifiers developed during his academic work. Comfortable across Python, web stacks, and systems administration, he translates complex statistical models into reliable, auditable pipelines used by portfolio teams. Based in the San Francisco Bay Area, he pairs institutional finance experience with an academic computing background and a pragmatic focus on operationalizing research.
11 years of coding experience
9 years of employment as a software developer
Academic Exchange Program Electrical and Computer Engineering, Academic Exchange Program Electrical and Computer Engineering at University of Illinois Urbana-Champaign
Master’s Degree Information Networking, Master’s Degree Information Networking at Carnegie Mellon University
Bachelor's Degree Electronic and Communication Engineering, Bachelor's Degree Electronic and Communication Engineering at City University of Hong Kong