Liu Tuo

Quantitative Trader

Hangzhou City, Zhejiang, China
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Summary

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Liu Tuo is a quantitative trader with 11 years of experience who blends rigorous mathematical finance training from Illinois Institute of Technology with hands-on engineering skills to build production trading systems. He has led quant teams designing ML-driven models for A-share equities and futures, and currently develops and deploys strategies at 上海稳博投资管理有限公司. Proficient in Python and its data stack (pandas, numpy, sklearn) and experienced with big-data and messaging technologies (Spark, Elasticsearch, HBase, MongoDB, Kafka, zeromq), he bridges model research and scalable microservice implementation. Earlier work at CME Group honed his market-data, curve construction, and derivatives pricing expertise, while a civil-engineering background informs his practical problem-solving and systems thinking. Colleagues rely on him for quickly translating complex mathematical models into robust, production-ready code.
code11 years of coding experience
job6 years of employment as a software developer
bookMaster's degree, Civil Engineering, Master's degree, Civil Engineering at Tongji University
bookMaster's degree, mathematics finance, Master's degree, mathematics finance at Illinois Institute of Technology
languagesChinese, English
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Github contributions (5)

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liutuol/584project

Nov 2015 - Jan 2017

Contributions:12 commits, 11 pushes, 1 branch in 1 year 2 months
liutuol/CME

Mar 2016 - Sep 2016

Contributions:29 pushes, 1 branch in 6 months
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Liu Tuo - Quantitative Trader