Kexuan Ma

Quantitative Researcher

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Kexuan Ma is a quantitative researcher and Operations Research master’s candidate at Columbia University with a strong track record of applying machine learning and parallel computing to financial problems. He built large-scale data pipelines and predictive models—from generating over one million candlestick images feeding CNNs to assembling a 100-factor technical database and ensemble models that pinpoint market inflection points. His toolkit spans Python, C++, SQL and PyTorch, and he has proven experience optimizing performance on Linux clusters and using BERT and random forests for messy real-world matching tasks. With internships at Charlton Capital, Futu Holdings, and Everbright Securities, he combines academic rigor (3.96 GPA, Columbia; First Class Honors in Financial Engineering) with production-focused research that delivered measurable returns. Based in New York, he’s as comfortable tuning model performance as he is unwinding on the badminton court or the ski slope.
code10 years of coding experience
job1 year of employment as a software developer
bookBachelor's degree, Financial Engineering, First Class Honor (Dated July 31, 2024), Bachelor's degree, Financial Engineering, First Class Honor (Dated July 31, 2024) at The Chinese University of Hong Kong, Shenzhen 香港中文大学(深圳)
bookHigh School Diploma, High School Diploma at Shenzhen Experimental High School
bookMaster's degree, Operations Research, 3.96/4.00, Master's degree, Operations Research, 3.96/4.00 at Columbia University
languagesEnglish, Chinese
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Github Skills (1)

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Github contributions (5)

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Contributions:71 pushes, 1 branch in 1 month
jessiemakexuan/jessie.com

Oct 2016 - Nov 2016

Contributions:26 pushes, 3 branches in 28 days
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