Bin Li

Quantitative Developer

Shanghai, Shanghai, China
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Summary

👤
Senior
🎓
Top School
Bin Li is a quantitative developer with 11 years of experience building data-intensive trading and risk systems across global banks and asset managers, currently leading backend infrastructure and end-to-end pipelines at Goldman Sachs ICBC Wealth Management in Shanghai. He designs and implements vendor ETL, backtesting, alpha generation, portfolio construction, task scheduling and data-quality platforms, and has a track record of bringing model validation, automation and performance monitoring from UBS into production. Comfortable across Python, C/C++, Redis, MySQL and cloud finance infrastructure, he has optimized low-latency market access modules and built cross-platform tooling for monitoring and operations. His background blends electrical/telecommunications engineering training from the University of Melbourne with hands-on trading-system development, giving him a systems-first approach to quant problems that balances algorithmic rigor with production reliability.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science (BS) Information Science and Engineering, Bachelor of Science (BS) Information Science and Engineering at Southeast University
bookThe University of Melbourne
languagesChinese, English
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Github Skills (3)

bare-metal10
arm10
atmel9

Programming languages (1)

C

Github contributions (1)

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Atmel Software Package
Contributions:279 commits in 2 years 2 months
atmelarmbare-metalcortex-a5cortex-m7
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