Yuanchu Dang
Executive Director - Rates Systematic Market Making
Hong Kong Island, Hong Kong, China
Summary
👤
Senior🎓
Top SchoolYuanchu Dang is an executive director specializing in systematic rates market making with 11 years of quant trading experience focused on Japanese government bonds and US rates. Based in Hong Kong, he leads market making and alpha strategy development at Goldman Sachs, rising through analyst and associate roles since 2017. He combines rigorous math and machine learning training from Columbia (MS) and Williams College with hands-on trading experience at top firms, bringing a rare blend of research-grade modeling and live-market execution. Known for enjoying math, statistics, coding and ML, he applies these skills to build scalable, data-driven strategies that bridge academic techniques and production trading.
11 years of coding experience
2 years of employment as a software developer
Visiting Student Mathematics Electrical Engineering and Computer Science, Visiting Student Mathematics Electrical Engineering and Computer Science at Massachusetts Institute of TechnologyMaster of Science - MS Computer Science - Machine Learning, Master of Science - MS Computer Science - Machine Learning at Columbia UniversityBachelor of Arts (B.A.) Highest Honors Mathematics Computer Science (double major), Bachelor of Arts (B.A.) Highest Honors Mathematics Computer Science (double major) at Williams College
Chinese, English, French
Stackoverflow
307reputation
12kreached
2answers
7questions
Github Skills (35)
wrapper9
gdax-api8
python-client8
coinbase-api8
coinbase8
trading7
pytorch7
exchange7
websockets-client7
websocket-client7
computer-vision7
object-detection7
yolov57
html6
julia6
Programming languages (3)
Github contributions (5)
Yuanchu/YOLO3D
Nov 2018 - Jan 2019
Implementation of a basic YOLO model for object detection in 3D
Contributions:72 commits, 52 pushes, 1 branch in 1 month
pytorchyolo-modeldeep-learningobject-detectioncomputer-vision
wl5/fake_news_detection
Dec 2018 - Dec 2018
Contributions:32 commits in 10 days
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