Shubham Jain
Quantitative Trader
Delhi, India
Summary
👤
Senior🎓
Top SchoolShubham Jain is a quantitative trader with nine years of experience building and deploying data-driven trading strategies, currently contributing to market-making and systematic research at Tower Research Capital. He previously served as a quantitative researcher at APT Research, bringing deep experience in model development and productionalizing research workflows, and had an early software engineering stint at D. E. Shaw. An IIT Delhi computer science graduate, Shubham blends rigorous academic foundations with hands-on skills in algorithmic trading, low-latency systems, and statistical modeling. Based in Delhi, he is comfortable operating at the intersection of research and engineering—translating novel signals into executable strategies under production constraints. Colleagues would note his trajectory from engineering to research to trading, reflecting both technical depth and a pragmatic focus on delivering measurable P&L impact.
9 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Github Skills (13)
3d9
pytorch3d9
artificial-intelligence9
camera-api9
pytorch8
cuda8
data-augmentation7
deep-learning7
sentence-embeddings6
sentence-similarity6
natural-language-processing5
nlp5
word-embeddings5
Programming languages (2)
Github contributions (5)
Shubhamjain27/shubhamblog
Mar 2019 - Aug 2023
Contributions:51 pushes, 1 branch in 4 years 5 months
Shubhamjain27/inltk
Apr 2020 - Oct 2020
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
Contributions:13 pushes, 1 branch in 6 months
nlpboxnlp-tasksout-of-the-boxnatural-language
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