Summary
Arthur Wang is a senior software engineer and full-stack quantitative developer with a decade of experience building data-driven trading and risk systems across electronic trading and asset management. Currently at Bloomberg in Electronic Trading, he brings a background in quantitative research and production-grade development from roles at JPMorgan, HBK, Trumid and hedge funds, with strong Python and C++ fluency. His work spans continuous pricing, risk analytics, and data engineering—delivering low-latency solutions and production tooling for trading desks. Arthur holds a Master's in Financial Engineering from Baruch and a dual-background in software engineering and mathematics from Shanghai Jiao Tong University, blending rigorous quantitative thinking with practical software craftsmanship. Colleagues value his ability to translate complex models into robust, auditable systems and to bridge research and engineering teams. Based in New York, he pairs institutional trading domain expertise with hands-on delivery of scalable, containerized data platforms.
10 years of coding experience