Lawrence Tang
Quantitative Researcher
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolLawrence Tang is a quantitative researcher and systems architect with eight years of experience building low-latency, production trading infrastructure across prop trading firms and exchanges. He has led design and implementation of multi-strategy trading engines, options pricing and market-making systems, and risk managers at firms including Hyperion Decimus, Chicago Trading Company, and now Tower Research Capital. His background at CME Group includes maintaining the Globex Fix Binary market data feed and automating deployment pipelines to AWS, cutting test cycles from nine hours to two—an example of his focus on operational robustness and measurable performance gains. Previously an SDE on Amazon Alexa and a short-lived CTO at a startup, he blends product-minded engineering with deep systems and C++/distributed-systems expertise. Based in San Francisco with a Computer Engineering degree from UIUC, he routinely bridges quantitative research and software engineering to deliver scalable, latency-sensitive trading solutions. Notably, he pairs hands-on coding with architecture-level thinking, often owning both algorithmic models and their production plumbing.
8 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at University of Illinois Urbana-Champaign
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (55)
praw10
scenic10
youtube9
reddit9
application9
data-structures8
language-modeling8
fine-tuning8
llm8
game-theory8
vector-database7
vision-transformer7
deep-learning7
transformer-architecture7
computer-vision7
Programming languages (8)
Github contributions (5)
lawrenceztang/lawrenceztang.github.io
Dec 2021 - Nov 2024
Contributions:1 PR, 57 pushes, 2 branches in 2 years 11 months
lawrenceztang/stock-website
Jun 2021 - Dec 2023
Contributions:9 pushes, 1 branch in 2 years 6 months
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