Shubham Singh
Quantitative Researcher @Wall Street Quants
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WORK HISTORY
Quantitative Researcher @Wall Street Quants
Built Python-based quantitative research and backtesting pipelines to evaluate systematic trading signals across market regimes• Analysed price, volatility, and volume features to assess risk, drawdowns, and strategy robustness• Worked on long–short and event-driven strategies, supporting portfolio analytics and performance attribution
EDUCATION
Delhi Technological University (Formerly DCE)
Bachelor of Technology - BTech
TDPS
Class 12
SRIS
Class 10
University of Bristol
Master of Science - MS
ABOUT SHUBHAM SINGH
Hi, I’m Shubham Singh I’ve always been drawn to how systems work. I started out in electrical engineering at DTU, where I spent years learning how to break down complex problems. Over time, my curiosity shifted from circuits to markets. I wanted to understand how financial systems behave, how data moves prices, and how decisions are made under uncertainty. Now I’m studying Financial Technology with Data Science at the University of Bristol. I’m learning to use statistics, machine learning, and programming to explore real-world financial questions. I’ve built models for forecasting, tested trading strategies, and worked on portfolio risk analysis. I enjoy working on messy problems that need clear thinking and creative solutions. I’m interested in roles across quantitative research, trading, and data-driven finance. I care about doing meaningful work, learning as much as I can, and building with people who are excited about finance and technology. If you’re working in this space or just want to connect, I’d love to hear from you. You can reach me at s••••••••@gmail.com
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