Carnegie Mellon University

Yujue Wang

Yujue Barbara Wang

Class of 2018

Bio

Yujue (Barbara) Wang earned a Bachelor of Science in mathematics and a Bachelor of Art in economics from Wuhan University in 2016, where she graduated with honors. Before joining MSCF, she interned in various departments including trading, quantitative research, derivative pricing and risk management. In her trading role, Yujue mainly analyzed and proposed trades including index futures, commodities and structured funds. She also developed a machine learning algorithm with Python and SQL to conduct stock selection through multi-factor models, increasing the probability of choosing a winning stock by 12%. At KPMG Advisory Limited, Yujue built and implemented derivatives pricing models for different products with Python and C++ that included callable bonds, bond options and CDS’s. As a quantitative strategy research assistant in an algorithm trading research program, Yujue improved the original strategy using dynamic time warping method, achieving a Sharp ratio of 2.9 and a max drawdown of 0.39 using five years of NYSE data. With a great passion for quantitative finance, Yujue joined the MSCF program to further strengthen her quantitative and analytical skills. Upon graduation, Yujue plans to pursue a career in trading, quantitative research or risk management.