John Zhang

John Zhang is a highly skilled individual with a strong background in mathematics and computer science. His academic achievements include being a Math major, USA Mathematical Olympics Qualifier, Putnam top 400, and a PhD student in Mathematics/Applied Math at the University of California, Los Angeles. He graduated Summa Cum Laude with a Bachelor's degree in Mathematics and a double major in Computer and Information Science from the University of Pennsylvania.

John's expertise extends to various programming languages such as Java, C, C++, Python, Stata, R, OCaml, SQL, MongoDB, Neo4J, and JavaScript (Node, Angular). He has won the Correlation One/Citadel Securities AI Competition and has experience as a Research Assistant for Math and CIS Departments. He has also worked as a Teaching Assistant for Artificial Intelligence classes and as a tutor for Mathematical Foundations of Computer Science.

With a keen interest in finance, John has knowledge in economics, accounting, and has undergone financial training at RBC. He was an Investment club member and a winner in investment competitions during high school. John's professional experience includes roles such as Global Markets Summer Analyst at RBC Capital Markets, Quantitative Analyst Intern at the U.S. Securities and Exchange Commission, and Quant Analyst at Enterra Solutions, LLC.

John Zhang is motivated, task-driven, and possesses strong verbal and written communication skills. He is a former Undergraduate Researcher and Teaching Assistant at the University of Pennsylvania. John's diverse skills, academic excellence, and professional experience make him a valuable asset in the fields of mathematics, computer science, and finance.