Zhi Li is a software engineer in New York with 10 years of experience building high-concurrency, production-grade systems across electronic trading, data engineering, and ML pipelines. He combines a Financial Engineering master's (4.0) and applied math/computer science background to deliver multi-asset valuation engines, algo trading platforms, and automated risk-management services for major banks. At Meta he designs CI/CD and automation frameworks that handle millions of concurrent requests and led an Auto-Pilot Issue Service end-to-end from requirements to UI. His prior roles at Barclays, Nomura, and Jefferies reflect deep domain expertise in central trading book workflows, execution strategies, and PnL generation for rates, equities, FX, and commodities. Known for translating quantitative finance needs into reliable, scalable software, he often bridges research and production with back-end testing and orchestration work. Colleagues rely on him for pragmatic architecture choices that tame complexity in latency-sensitive, high-throughput environments.
Contributions:215 commits, 135 pushes, 1 branch in 1 year 10 months
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