Mary Dong
Algo Trader at Citadel
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMary Dong is an algorithmic trader at Citadel with a decade of quantitative experience blending applied math, computer science, and economics from Brown University. She progressed from research and teaching roles in computer science to quant internships and structuring at Barclays before moving into business analysis and now algo trading in Citadel's Fixed Income & Macro fund. Mary combines hands-on modeling and research experience with real-world trading and structuring exposure, enabling her to translate complex quantitative insights into executable trading strategies. Based in New York, she has a track record of bridging academic rigor and market-facing execution, and she often applies interdisciplinary thinking—drawn from both economics and CS—to solve edge-case market problems.
10 years of coding experience
3 years of employment as a software developer
ScB Double Major in Applied Math-Computer Science and Economics, ScB Double Major in Applied Math-Computer Science and Economics at Brown UniversityHigh School Diploma, High School Diploma at Crofton House School
Chinese, English
Github Skills (1)
react2
Programming languages (2)
Github contributions (5)
peterhuson/superzoom
Apr 2019 - May 2019
Contributions:53 pushes in 15 days
schen9981/avocaodo-millenial-analysis
Apr 2020 - May 2020
Contributions:19 pushes in 28 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.