Summary
Haoyang Wang is a software engineer with 11 years of experience, currently building sell-side trade processing systems at Bloomberg focused on fixed income, bond, mortgage and repo trade capture. Trained at UCLA (BS Computer Science) and Carnegie Mellon (MS Information Networking), he blends strong academic grounding with production-facing finance engineering. He specializes in complex data pipelines and low-latency trade capture where precision and regulatory traceability matter. Based in the New York City area, he brings cross-market perspective from Paris to Shanghai and is open to internships and research roles that bridge risk, research, and advisory functions. Colleagues describe him as pragmatic and detail-oriented, able to translate intricate market rules into reliable software. Notably, he combines quantitative-minded problem solving with hands-on implementation experience in mission-critical trading infrastructure.
11 years of coding experience
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at University of California, Los Angeles
Master of Science in Information Networking, Master of Science in Information Networking at Carnegie Mellon University
Chinese, English