RP

Ruoyu Wang Ph.D.

Vice President, Senior Research Analyst at Loomis Sayles

Ruoyu Wang, PhD, CFA has a diverse range of work experience in the financial industry. Starting in 2012, they worked as a Summer Intern at the U.S. Securities and Exchange Commission. Ruoyu then joined the Fuqua School of Business as a Teaching Assistant and Ph.D. Researcher. During this time, they collaborated on research projects and published a paper on decision analysis.

In 2017, Ruoyu became a Quantitative Analyst at State Street, where they reviewed and proposed enhancements to macro forecasting models and liquidity risk management. Ruoyu also ensured compliance with regulations and communicated validation results to senior management.

In 2018, they joined J.P. Morgan as a Quantitative Analyst, specializing in data analysis and quantitative modeling. Ruoyu worked in this role until 2020 when they moved to Loomis, Sayles & Company as a Vice President and Senior Research Analyst.

Overall, Ruoyu Wang's work experience showcases their expertise in quantitative analysis, research, and risk management in the financial industry.

Ruoyu Wang, PhD, CFA has an extensive education history. From 2012 to 2017, they attended Duke University - The Fuqua School of Business, where they obtained a Doctor of Philosophy (Ph.D.) in Business Administration with a specialization in Decision Sciences, specifically in Operations Research and Economics. They also completed a Master's Degree in Economics from Duke University from 2012 to 2016. Prior to that, from 2011 to 2012, they pursued a Master's Degree in Operations Research at Columbia University.

In addition to their formal education, Ruoyu Wang has acquired various certifications. They obtained the Chartered Financial Analyst (CFA) designation from the CFA Institute in August 2022. They have also completed several online courses, receiving certificates in "Machine Learning" from Coursera in October 2016, "Python for Everybody Specialization" in June 2016, "Using Databases with Python" in May 2016, and "Python Data Structures" in April 2016, all from Coursera Course Certificates.

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Timeline

  • Vice President, Senior Research Analyst

    February, 2020 - present