Summary
Harshal Patil is a quantitative researcher and algorithmic trading specialist with 11 years of experience building and executing systematic strategies across proprietary trading firms and asset managers. He holds dual master's degrees in Computer Science (NYU) and Quantitative Finance (WorldQuant University), pairing deep technical software skills with rigorous financial modeling. His career spans hands-on roles from trading system specialist and execution trader to quant researcher at WorldQuant, Imperative Execution, Squarepoint, and now Alphadyne, reflecting expertise across research, execution, and operations. Known for translating complex data and statistical signals into production trading systems, he brings rare end-to-end experience from low-latency execution to macro research. Based in the United States, he combines an engineering-first mindset with quantitative rigor, often bridging gaps between research prototypes and live trading infrastructure.
11 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at New York University
Master of Science - MS Quantitative Finance, Master of Science - MS Quantitative Finance at WorldQuant University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Savitribai Phule Pune University
English, German