Xiao Jiang
Quantitative Researcher
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolXiao Jiang is a quantitative researcher with 11 years of experience applying mathematical rigor to investment problems, currently working at Squarepoint in Singapore. Trained in pure mathematics and quantitative finance at the University of Waterloo, Xiao has moved from academic option pricing and model-free bounds research into practical portfolio construction and fixed income analysis at institutional investors including CPP Investment Board, Mackenzie, and Bridgewater. He blends strong theoretical foundations (coauthored academic work on Fréchet bounds and multi-asset pricing) with hands-on implementation of trading analytics and risk tools, having built Monte Carlo and data-preprocessing pipelines early in his career. Known as a pragmatic problem solver, he focuses on transforming complex quantitative ideas into robust, production-ready strategies and reports. A less obvious strength is his long history teaching and presenting technical material, which helps him communicate dense quantitative insights clearly to traders and portfolio managers.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Mathematics Pure Math, Bachelor of Mathematics Pure Math at University of Waterloo
French, Chinese, EnglishGithub contributions (5)
xiaopz0/theme_invest
Apr 2016 - Dec 2016
Contributions:2 commits, 1 push, 1 branch in 8 months
xiaopz0/RepData_PeerAssessment1
Aug 2015 - Apr 2016
Contributions:3 pushes, 1 branch in 7 months
peer-assessmentreproduciblebioinformaticsassessmentreproducible-research
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