Summary
Wei-cheng Liou is a quantitative researcher and software engineer with 11 years of experience building automated trading systems and risk models for derivatives markets. With a master's in Business Mathematics (top of class), he has applied Python, VB.NET, SQL and distributed systems to design delta-/gamma-neutral option strategies, SVM-based forecasts, and high-frequency experiments. At Academia Sinica he now designs AWS-based distributed computation and MongoDB-backed databases for social network and corporate-default modeling, bridging academic research and production engineering. A former derivatives trader and assistant manager, he combines hands-on intraday trading experience with rigorous data-mining and machine-learning practice, and even maintains an autonomous research database at home.
12 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Finance, General, Bachelor's degree, Finance, General at Yuan-Ze University
Master's degree, Business Mathematics, GPA: 4, first in class, Master's degree, Business Mathematics, GPA: 4, first in class at Soochow University