Summary
Kshitiz Sharma is an application architect on the municipal desk at Bank of America Merrill Lynch with 11 years of experience blending software engineering, quantitative research, and risk analytics. He holds a Master's in Financial Engineering and a strong computer engineering background, and has moved between roles in quant research, risk, and fintech product founding. Kshitiz builds data-driven trading and risk tools—publishing practical notebooks on technical analysis, supervised/unsupervised learning, statistical and time-series methods—and has a Django-based fintech app on GitHub. He views alpha as market inefficiency rather than algorithmic cleverness and treats risk as forward uncertainty, which guides his pragmatic approach to model design and production systems. Comfortable in both research and production, he translates quantitative ideas into architected solutions for trading desks. Based in Toronto, he combines startup grit with institutional engineering discipline.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Engineering, 8.9, Bachelor's degree, Computer Engineering, 8.9 at SRM University
Masters, Financial Engineering, 3.67, Masters, Financial Engineering, 3.67 at Stevens Institute of Technology
Hindi, English