Guangqi Li - Quantitative Research Intern (Winter)

Guangqi Li

Quantitative Research Intern (Winter)

New York, New York, United States

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Summary

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Rockstar

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Top School

Guangqi Li is a Columbia Financial Engineering graduate student and quantitative researcher with 11 years of experience building systematic strategies, risk frameworks, and ML-driven trading tools. He has delivered end-to-end research—from Barra and Brinson attribution and factor crowding diagnostics to LSTM return models and RAG-powered NLP tools for trading commentary—across asset managers and prop shops. Practical wins include a pairs mean-reversion engine with robust HMM regime switching and a mid-frequency crypto microstructure study, as well as a 15.9% annualized excess return backtest from an intern project. Comfortable in Python, R, and SQL, he pairs production-minded coding (contributions to Alibaba’s React component and eslint toolchains) with rigorous statistical validation and deployment pipelines. Based in New York, he’s seeking 2026 quant internships and brings an unusual blend of front-end open-source experience and deep quantitative, attribution-oriented thinking.

11 years of coding experience

Bachelor of Science - BS Financial Mathematics, Bachelor of Science - BS Financial Mathematics at University of Delaware

Bachelor of Economics - BEc Fianancial Mathematics, Bachelor of Economics - BEc Fianancial Mathematics at Southwestern University of Finance and Economics

Master of Science - MS Financial Engineering, Master of Science - MS Financial Engineering at Columbia University

Stackoverflow

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Github Skills (34)

javascript10

react-components10

ui-components10

guideline10

typescript10

eslint10

system-design10

carbon-design-system10

ui-design10

react-component10

component-kit10

front-end-development10

sys10

specification10

typescript-types10

Programming languages (2)

TypeScriptJavaScript

Github contributions (5)

alibaba/f2e-spec

Dec 2020 - Sep 2022

Alibaba Front-end Coding Guidelines and Relevant Tools

Role in this project:

Front-end Developer

Contributions:47 reviews, 41 commits, 16 PRs in 1 year 9 months

Contributions summary:Guangqi primarily contributed to the development of ESLint plugins and configurations for front-end projects, specifically focusing on the `eslint-plugin-ali` package. Their work involved implementing new rules, such as those related to semantic versioning and secret information, as well as modifying existing ones like `no-http-url`. They also addressed test case issues and package export methods, improving the functionality and maintainability of the project's linting capabilities. Furthermore, they made updates to the eslint configuration.

linterspecificationalibabaguidelinesfront-end

alibaba-fusion/next

Oct 2021 - Jan 2023

🦍 A configurable component library for web built on React.

Role in this project:

Front-end Developer

Contributions:76 releases, 207 reviews, 339 commits in 1 year 2 months

Contributions summary:Guangqi primarily contributed to the Alibaba Fusion's next repository, focusing on component library improvements and bug fixes. Their commits include releasing new versions, fixing bugs in UI components like Form, Calendar, and TimePicker2, and adding new features such as supporting preserveNonExistentValue props for TreeSelect and supporting tagInline feature in TreeSelect. They also addressed code issues and optimized the release script and added test cases for the components.

reactconfigurableweb-componentsfusion-designfusion

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