Summary
John Luo is a data engineer with 11 years of experience building production-grade data pipelines, risk models, and reporting engines across finance and enterprise IT. He blends a dual background in computer science and economics from Pace University to deliver automated ETL systems, real-time risk monitoring tools, and bespoke analytics that reduce manual work and accelerate decision-making. At Wells Fargo he modernized data management and governance using SSIS/SSRS, Tableau and Power BI while shipping Python solutions that bypassed traditional DevOps bottlenecks; at Byzantium he now leads quantitative risk modeling and margin optimization for options strategies. He has a track record of collaborating closely with traders, risk analysts, and leadership to translate domain needs into resilient data products and hedging frameworks. Known for pragmatic automation and a trader-aware engineering mindset, he often surfaces non-obvious insights by combining statistical models with operational constraints.
11 years of coding experience
8 years of employment as a software developer
Bachelor's Degree Economics, Bachelor's Degree Economics at Pace University
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at Pace University - Seidenberg School of Computer Science and Information Systems
Chinese, English, German