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.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS) Information Science and Engineering, Bachelor of Science (BS) Information Science and Engineering at Southeast University
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