Seasoned Wall Street investor with 15+ years overseeing capital-generating AUM and algorithmic strategies. Salim has deep expertise in AI-driven finance, systematic trading, and cross-border fund management. Educated at MIT’s Sloan School of Management, he brings a unique blend of institutional discipline and startup innovation to NovaQ Capital’s global operations. Salim has proven track record of building and scaling quantitative businesses from inception to institutional scale, bridging technology, finance, and leadership to drive sustained growth and investor value.
Quantitative finance expert with a Ph.D. from IIT in Quantitative Finance and a strong record of building systematic trading systems for leading banks and hedge funds, including Lloyds Banking Group. Abhishek specializes in developing machine-learning and statistical-arbitrage models to uncover inefficiencies and generate consistent alpha across asset classes. Abhishek has published several Research Papers in the leading finance journals, contributing to advances in quantitative modeling and market microstructure analysis.