Keshuai Li

Quantitative Analyst

Shanghai, United Kingdom
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Summary

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Senior
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Top School
Keshuai Li is a delivery-driven quantitative analyst with a strong academic foundation (MSc Math & Finance, Imperial College London) and a decade-long trajectory in quantitative roles across major institutions. He has two years focused on developing and optimizing QIS models and algorithmic strategies at Credit Suisse and UBS, combining Python, C# and SQL with statistical modeling and risk management. Comfortable translating research into production-ready systematic trading solutions, he collaborates effectively with cross-functional teams to deploy robust investment strategies. His background spans both buy-side and sell-side experience plus internships in China, giving him fluency in global markets and practical insight into implementation constraints. Notably, Keshuai pairs rigorous math training with hands-on coding discipline, enabling fast iteration from prototype to live quant products.
code10 years of coding experience
bookBachelor's degree, Mathematics, Bachelor's degree, Mathematics at Beijing Normal University
bookExchange Student, Mathematics, Exchange Student, Mathematics at Rutgers University–New Brunswick
bookMaster, Math&Finance, Master, Math&Finance at 英国帝国理工学院
bookHigh School Diploma, Science, High School Diploma, Science at The Attached Middle School To Jiangxi Normal University
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Github contributions (5)

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JeraKrs/summaries

Jul 2018 - Jun 2020

Contributions:2 PRs, 74 pushes, 3 branches in 1 year 11 months
JeraKrs/notes

Dec 2017 - Mar 2022

Contributions:199 commits, 168 pushes, 1 branch in 4 years 4 months
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Keshuai Li - Quantitative Analyst