Lijun Huang

About Lijun Huang

I am a software engineer with strong experience in building high performance systems for payments, quantitative analytics and large scale data processing. I work across the full stack of backend engineering including distributed systems, numerical computing and cloud infrastructure.At Goldman Sachs, I lead the development of a large scale payment and cash movement system that processes high volume transactions and handles complex financial logic with strict correctness requirements. My work spans Python services, event driven workflows, performance optimization and large scale data pipelines on AWS.Previously, I built portfolio optimization tools, factor analytics pipelines and risk analysis engines at E Fund Management, working closely with quantitative researchers to bring models into production. Earlier at MSCI, I implemented and validated pricing and risk models across multiple asset classes, including FRTB sensitivities.I enjoy solving hard technical problems at the intersection of engineering and finance. I am open to opportunities in software engineering, payments infrastructure, quantitative development and large scale data systems.

Experience

1. Vice President Technical Lead

   高盛

   Dec 2024 — Present

Education

• Michigan State University

  Economics

  2013 — 2015

• University of Illinois Urbana-Champaign

  Bachelor’s Degree, Economics & minor in CS

  2015 — 2017

• University of Illinois Urbana-Champaign

  Master of Science - MS, Financial Engineering

  2017 — 2018