Ayush Gupta
Quant at Cubist Systematic Strategies
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAyush Gupta is a quantitative researcher and developer with a decade of experience building alpha, risk and portfolio-optimization models across top-tier firms including Cubist, Woodline Partners, Goldman Sachs and PIMCO. He combines rigorous Financial Engineering training from UC Berkeley with dual degrees in Computer Science from IIT Delhi to bridge statistical theory, machine learning and production-grade engineering. At Woodline he led systematic capital deployment and alternative-data driven behavioral research, and now applies that experience to systematic strategies at Cubist in New York. Comfortable moving models from research to live execution, he blends econometrics and software craftsmanship to solve real-time portfolio problems. An early machine-learning researcher and former intern at Works Applications and Loughborough, he brings a curious, research-first mindset that surfaces non-obvious signal sources for trading.
10 years of coding experience
3 years of employment as a software developer
Master's degree Financial Engineering, Master's degree Financial Engineering at University of California, BerkeleyIndian Institute of Technology Delhi (IIT Delhi)12th Grade, 12th Grade at Dinanth Junior College10th Grade, 10th Grade at Seventh Day Adventist High School, Nagpur
English, Hindi
Stackoverflow
627reputation
31kreached
2answers
9questions
Github Skills (37)
relation7
cs231n7
zero-padding6
logistic-regression6
cluster-analysis6
casting6
curve-fitting6
python6
numpy6
notebook6
azure-machine-learning6
bit-manipulation6
relation-extraction6
sdk5
deep-learning5
Programming languages (4)
Github contributions (5)
ayushgupt/k-function-approximation
Oct 2018 - Nov 2018
Contributions:32 commits, 25 pushes, 1 branch in 1 month
ayushgupt/Youtube-Website
Aug 2017 - Oct 2022
Contributions:1 push, 1 branch in 5 years 3 months
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