Summary
Nick Psaris is a seasoned quantitative trading strategist and engineering leader with 11+ years building production trading systems, electronic market-making platforms, and cross-asset ML models at major global banks. As Managing Director leading Global Markets Data Science & Engineering at Bank of America, he designed and productionized a central risk data and analytics platform and a global client-interest prediction model, blending expertise in kdb+ architecture, derivatives market making, and market-neutral alpha capture. He teaches at Carnegie Mellon Tepper, runs a boutique consultancy (Vector Sigma), and has a track record of translating research into low-latency, auditable production systems. Notably, he combines deep hands-on skills in kdb+ with a practitioner’s focus on deployable ML—helping trading desks move from prototypes to resilient, regulated infrastructure.
11 years of coding experience
6 years of employment as a software developer
BS Physics Chinese, BS Physics Chinese at Duke University
MSCF Computational Finance, MSCF Computational Finance at Carnegie Mellon University - Tepper School of Business
Phillips Exeter Academy
Chinese