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Wanqi Zhu is an experienced professional with a strong background in quantitative research and economics. Previously worked as a Quantitative Researcher at Jane Street and held roles as a Quantitative Research Intern and an Economist Intern at Lyft. Additionally, served as a TA/Grader in the Master's Program in Computer Science at the University of Chicago while also completing a paid internship. Wanqi Zhu gained software engineering experience as an intern at Improbable, showcasing a diverse skill set in both quantitative analysis and software development.