Nathan Lo

Algorithm Engineer at Hudson River Trading

New York, New York, United States
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Summary

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Senior
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Top School
Nathan Lo is an algorithm engineer with 11 years of software engineering experience, grounded in a dual Waterloo education in Computer Science, Combinatorics & Optimization, and Pure Math. He has built low-latency, high-reliability systems across top-tier trading and tech firms—Hudson River Trading, Citadel/Citadel Securities, Jane Street, Bloomberg, and Google—bringing a quant-minded approach to production software. Proficient in Python and C++ with deep mathematical instincts, he thrives on translating complex algorithms into performant, maintainable code. His background includes 3D systems work at SideFX, hinting at a comfort with graphics and simulation beyond classical finance stacks. Based in New York, he combines academic rigor with hands-on trading-engine and infrastructure experience to optimize real-world decision systems.
code11 years of coding experience
job2 years of employment as a software developer
bookBachelor's of Mathematics, Combinatorics and Optimization - Honours Co-op, Bachelor's of Mathematics, Combinatorics and Optimization - Honours Co-op at University of Waterloo
languagesChinese, French, English
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Stackoverflow

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Github Skills (32)

markdown10
textbook10
redis10
redis-cluster10
algorithms9
redis-protocol9
database9
nosql-database9
science9
computer-science9
rocksdb8
key-value7
storage-engine7
python6
chess-engine3

Programming languages (5)

C++CJavaScriptJupyter NotebookPython

Github contributions (5)

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nathanlo99/Crazyhouse

May 2016 - Jul 2018

Contributions:12 commits, 9 pushes, 1 branch in 2 years 2 months
nathanlo99/baby-rudin

Jun 2019 - Aug 2019

Contributions:29 commits, 28 pushes, 1 branch in 1 month
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