Dhiraj Bhosale

Currently, a Quantitative Research Consultant at WorldQuant, I focus on building and testing systematic trading signals across multiple asset classes. My work emphasizes market-neutral and mean-reversion strategies to enhance consistency while mitigating risks. Signal performance, stability, and turnover are rigorously evaluated to achieve improved risk-adjusted returns. Pursuing a B.Tech in Mechanical Engineering at IIT Delhi, I combine academic rigor with practical experience. My core competencies include alpha modeling, statistical arbitrage, and fast expression language, which I leverage to design innovative solutions in quantitative finance. My ongoing efforts aim to bridge advanced quantitative research with effective market applications.