Shengjie Xiu
Quantitative Trader
Hong Kong, China
Summary
👤
Senior🎓
Top SchoolShengjie Xiu is a quantitative trader based in Hong Kong with eight years of experience blending PhD-level signal processing and optimization research into live systematic trading across equities, futures, and crypto markets. At J.P. Morgan he works on Central Risk Book strategies, contributing end-to-end from alpha research and portfolio optimization to execution infrastructure and real-time monitoring. He previously built a low-latency crypto market‑making platform that adapted quoting to order-flow toxicity and volatility regimes, demonstrating both research depth and production-grade engineering. His background includes ML-driven microstructure analysis of APAC auctions and wearable sensing research, reflecting a rare mix of market microstructure expertise, optimization theory, and applied systems development.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE Electronic Engineering, Bachelor of Engineering - BE Electronic Engineering at Sun Yat-sen UniversityHong Kong University of Science and Technology (HKUST)
Chinese, Chinese, English
Github Skills (5)
android8
information-extraction6
ocr5
convolution2
verilog1
Programming languages (4)
Github contributions (5)
Michael-Xiu/ICDAR-SROIE
Mar 2019 - Apr 2019
ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
Contributions:28 commits, 24 pushes, 1 branch in 26 days
information-extractionocr
Michael-Xiu/PyTorch-learning
Mar 2019 - Mar 2019
Improvement of popular PyTorch tutorials in version 1.0.1
Contributions:4 PRs, 16 pushes, 5 branches in 8 days
pytorchdeep-learningpytorch-tutorialstorchvisionimprovement
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