Ding Zhao

VP - Quantitative Researcher

San Francisco Bay Area United States
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Summary

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Senior
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Top School
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.
code11 years of coding experience
job9 years of employment as a software developer
bookAcademic Exchange Program Electrical and Computer Engineering, Academic Exchange Program Electrical and Computer Engineering at University of Illinois Urbana-Champaign
bookMaster’s Degree Information Networking, Master’s Degree Information Networking at Carnegie Mellon University
bookBachelor's Degree Electronic and Communication Engineering, Bachelor's Degree Electronic and Communication Engineering at City University of Hong Kong
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Github Skills (8)

machine-learning1
extraction1
deep-learning1
tensorflow1
computation1
feature-extraction1
speaker-recognition1
speaker1

Github contributions (5)

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Contributions:12 commits, 12 pushes in 2 months
wedrinklatte/dzhao.info

Sep 2016 - Apr 2018

Contributions:42 pushes, 2 branches in 1 year 7 months
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Ding Zhao - VP - Quantitative Researcher