Tusharr Verma — AI Researcher

Final-year Electrical Engineering undergraduate at IIT Delhi with hands-on experience as a Quantitative Developer intern at AR Financial Securities. I specialize in designing and backtesting systematic trading strategies, leveraging Python, statistical modeling, and large financial datasets to develop and refine robust, data-driven solutions. My academic training in mathematics, probability, and statistical inference, combined with practical exposure to real-world markets, has strengthened my analytical approach and technical proficiency. Notably, I have implemented and evaluated a range of strategies (including mean reversion and momentum), optimizing key performance metrics and generating actionable insights for portfolio enhancement. Skilled in Python (NumPy, Pandas, Scikit-learn), C++, and SQL. Eager to apply my quantitative skills and programming expertise in full-time roles such as Quantitative Developer/Researcher, Systematic Trader, or Quantitative Analyst, where I can contribute to innovative, high-performance teams driving data-driven decision-making in financial markets. Let's connect if you are seeking motivated quant talent with a strong foundation in mathematics and a passion for financial technology.

Stackforce AI infers this person is a Quantitative Developer with a strong foundation in financial technology.

Location: Delhi, India

Experience: 11 mos