Aarjav Jain

Quant Analyst @Dolat Capital

Mumbai, IN

Contributed to the research, development, and deployment of automated trading strategies in Indian derivatives markets, focusing on signal generation, statistical modeling, and execution optimization. Modelling of delta and vega signals using EMA-smoothed order flow and short-horizon market reactions; evaluated signal quality through statistical metrics and backtesting frameworks. Applied regression, time-series, and correlation analysis to model volatility behavior and uncover non-linear relationships driving option pricing dynamics. Built and deployed real-time retreat logic and position management systems using C++ to improve market-making adaptability and risk control during volatile conditions. Developed simulation pipelines and Python tools for large-scale strategy optimization across varied parameter spaces and execution environments

Silver Oak School - India

CBSE 10th, AISSE

Indian Institute of Technology, Kanpur

Bachelor's degree, Electrical Engineering

Adinath Public School

CBSE 12th, AISSCE