Summary
Naz Quadri is a veteran technology executive and CTO with deep expertise building data platforms and machine learning systems for financial services, having led data and quant teams at Bloomberg and J.P. Morgan and now serving as CTO and Partner at Princeton Equity Group. He combines a mathematician’s rigor (Warwick MSc) with three decades of hands-on software engineering across Goldman Sachs, Morgan Stanley, and startups, delivering high-performance trading and risk systems as well as production ML pipelines. At J.P. Morgan he architected the Data Platform behind Fusion, unifying batch, tick and alternative datasets to generate investment and operational alpha. As an educator he teaches post-graduate machine learning at Northwestern, bridging academic methods and production-grade tooling. He also advises fintech firms through board roles, bringing a rare mix of product strategy, quant analytics and implementation experience. Notably, his early startup work built a zero-training continuous voice recognition system, hinting at a long-standing interest in applied ML beyond traditional finance.
11 years of coding experience
23 years of employment as a software developer
Masters in Mathematics (4 Yr Course) Mathematics, Masters in Mathematics (4 Yr Course) Mathematics at University of Warwick
A-Levels Mathematics Futher Mathematics Physics Chemistry, A-Levels Mathematics Futher Mathematics Physics Chemistry at Wyggeston and Queen Elizabeth I College