Hitesh Nanwani — Associate Consultant

As a Quantitative Analyst currently pursuing an MSc in Financial Engineering, I focus on building systematic, data-driven strategies across equity and crypto markets, with a strong foundation in risk management, derivatives pricing, and portfolio optimization. I work extensively with Python, SQL, and libraries such as NumPy, pandas, TensorFlow, and Scikit-learn to design, backtest, and deploy algorithmic trading models, including live implementations via Brokers APIs. Alongside my role as a Wholesale Credit Analyst, where I perform in-depth credit and financial analysis, I contribute part-time as a researcher on the WorldQuant Brain platform, developing and evaluating alpha signals and quantitative ideas for real-world markets. I am keen on roles that combine quantitative research, algorithmic trading, and applied machine learning in collaborative, research-driven environments

Stackforce AI infers this person is a Fintech professional specializing in quantitative analysis and algorithmic trading.

Experience: 5 yrs