Yuejun Fang Fang
About Yuejun Fang Fang
Yuejun Fang Fang is an Associate and System Analyst at Anchorage Capital Group, L.L.C., where he has worked since 2017. He previously held positions at Goldman Sachs, including a summer internship in 2014 and an analyst role from 2015 to 2017, and he earned a Bachelor's degree in Computer Science from Stony Brook University.
Work at Anchorage Capital Group
Yuejun Fang has been employed at Anchorage Capital Group, L.L.C. since 2017. In the role of Associate and System Analyst, Fang contributes to the firm's analytical and system-related projects. This position involves working with various data systems and supporting the operational needs of the organization. Fang's tenure at Anchorage Capital Group spans over seven years, indicating a commitment to the company's objectives and growth.
Experience at Goldman Sachs
Yuejun Fang gained valuable experience at Goldman Sachs, where he worked as an Analyst from 2015 to 2017. This role involved analyzing financial data and supporting investment strategies. Prior to this position, Fang completed a Summer Internship at Goldman Sachs in 2014 for two months in New York City. This internship provided foundational experience in the finance industry and enhanced his analytical skills.
Education in Computer Science
Yuejun Fang earned a Bachelor's degree in Computer Science from Stony Brook University. His studies spanned from 2011 to 2015, equipping him with essential knowledge and skills in programming, data structures, and systems analysis. This educational background supports his current role in system analysis and contributes to his analytical capabilities in the finance sector.
Professional Background
Yuejun Fang's professional background includes significant roles in both finance and technology. Starting with an internship at Goldman Sachs, he transitioned to a full-time Analyst position before moving to Anchorage Capital Group. His experience in these roles reflects a blend of financial analysis and technical expertise, which is essential in today's data-driven financial environment.