Summary
Jonathan Poulter is a seasoned full-stack engineer and quantitative analyst with 16 years' experience building trading, risk and analytics systems for energy and financial markets. Currently a Senior Analyst on US Power at Balyasny, he has led commodity quant teams and developed production-grade risk infrastructure and managed kdb analytics at AWS, translating sophisticated front-office use cases into scalable cloud services. His background spans CVA and counterparty credit risk, e-trading strategy, and bespoke commodity valuation, giving him a rare blend of quant finance rigor and hands-on software delivery. Based in Houston, he pairs deep domain expertise in power, gas and oil markets with practical engineering—designing integrations used by large financial institutions—and has pursued focused data science and quantitative finance certifications to bridge modeling and production.
16 years of coding experience
Various Classes, Various Classes at Baruch College
Undergradute Certificate Weather Forecasting, Undergradute Certificate Weather Forecasting at Penn State World Campus
Certificate of Quantitative Finance, Certificate of Quantitative Finance at CQF Institute
Master of Computing Computer Science, Master of Computing Computer Science at The University of Sheffield
MSCF Certificate Data Science for Finance, MSCF Certificate Data Science for Finance at Carnegie Mellon University
Online Course (Coursera) Financial Engineering and Risk Management, Online Course (Coursera) Financial Engineering and Risk Management at Columbia University