Eric Fu is a Master of Science candidate in Business Administration (Finance track) at Leeds School of Business. He is expected to graduate in summer 2018.
Eric has received extensive training in finance at Leeds. He is versed in financial statement analysis and financial forecasting. He has gathered financial data on public companies, performed financial analysis on key metrics, and presented useful insights on the financial data. He has developed and maintained complex financial models in MATLAB and MS Excel to price derivatives and compute volatility of stocks. He has also completed graduate-level Economics coursework at CU Boulder. As a graduate student instructor, he has taught Introduction to Accounting and Finance courses to business undergraduates.
In 2017, Eric was awarded the Gerald Hart Fellowship to conduct a faculty-sponsored research on the applications of natural language processing in finance using Python. He researched and documented the impact of the Great Depression on firm size growth by developing regular expressions in Python to extract firm-level data from digitised Moody’s Manuals from the 1920s.
Prior to joining Leeds, Eric was a Lecturer of Mathematics at Coastal Carolina University. He taught a variety of undergraduate math courses and routinely gave math presentations to freshmen in the College of Science. He was appointed as the Course Coordinator of Trigonometry. In his formal capacity as a coordinator, he led 10 faculty members in streamlining the instruction of 15 sections, designed course assessments, wrote manuals, and adopted ideas that would improve student learning outcomes. Additionally, as the faculty adviser of Pi Mu Epsilon (the honorary national mathematics society), Eric inducted new members based on their outstanding academic performances in mathematics and mentored student members on post-graduation career paths.
In 2015, Eric passed the CFA Level I Exam by the CFA Institute.
His previous education credentials include a Bachelor of Science in Mathematics and Physics from the University of Michigan at Ann Arbor and a Master of Science in Mathematics from the University of North Carolina at Chapel Hill. He also passed both Exam P (Probability) and Exam FM (Financial Mathematics) by the Society of Actuaries in 2005-2006.