Summary
Sahil Puri is Head of Data, UK at Cubist Systematic Strategies with a decade of experience building quantitative and machine learning-driven research pipelines for asset management. His background spans roles at Goldman Sachs, PIMCO and Point72 where he combined financial engineering, portfolio analytics and NLP to automate risk reporting and drive trading insights. Trained at UC Berkeley’s MFE and with a strong quant pedigree, he focuses on deep learning and behavioral signals to push the frontiers of systematic strategies. Colleagues know him for bridging research and production—leading teams that turn sophisticated models into robust, scalable data products. An analytical generalist often described simply as “Quant.” on GitHub, he brings both hands-on modeling skill and pragmatic operational discipline to high-stakes trading environments.
9 years of coding experience
4 years of employment as a software developer
Post graduate diploma Financial engineering, Post graduate diploma Financial engineering at IIQF
MFE Financial Mathematics, MFE Financial Mathematics at University of California, Berkeley, Haas School of Business
Bachelor of Engineering (BE) Industrial and Production Engineering, Bachelor of Engineering (BE) Industrial and Production Engineering at Delhi College of Engineering
High School Genral Subjects, High School Genral Subjects at Sacred Heart Convent School
Hindi, Punjabi, German