Vandit Jain — Operations Associate

I am Vandit Jain, a results-driven professional with over 6 years of experience in Risk Management and Quantitative Trading within the financial services industry. My expertise lies in developing and deploying alpha-generating strategies across U.S. and E.U. cash equities, with a strong focus on pricing models and KDB-based strategies. I possess advanced quantitative and programming skills, with proficiency in Python, machine learning, and AI tools that enhance real-time trading systems and model optimization. My passion for data-driven decision-making has allowed me to drive significant global PnL by managing trading models and deploying strategies on major exchanges. Throughout my career, I have been recognized for my ability to conduct in-depth market research and risk analysis, leveraging advanced analytics and alternative data sources to uncover trends and optimize trading approaches. I have a strong background in equity markets and portfolio risk management, with hands-on experience building and maintaining breweries in Python to support scalable and efficient trading infrastructure. My commitment to performance and innovation has earned me accolades at both Morgan Stanley and The Smart Cube for outstanding contributions and client acquisition success. I look forward to continuing to deliver high-impact results in the financial sector.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative trading and risk management.

Location: Mumbai, Maharashtra, India

Experience: 6 yrs 6 mos