Summary
Jixiang Shen is a quantitative finance and computer science graduate with 11 years of hands-on experience building algorithmic trading tools, AI-driven models, and financial data analyses using Python, Java, and C++. Trained at UC San Diego and pursuing an MS in Quantitative Finance at Singapore Management University, he blends strong quantitative modeling with practical trading strategy development. He has led technical teams in robotics competitions—placing third internationally—and served as Vice President of Finance for a student council organizing hackathons and career events, demonstrating both technical leadership and fiscal stewardship. Comfortable moving between research-grade modeling and production-oriented software, he brings a track record of turning complex data into actionable trading signals and operational decisions.
11 years of coding experience
7 years of employment as a software developer
GPA: 4.2 (Weighted), GPA: 4.2 (Weighted) at Taipei American School
University of California San Diego
Master of Science - MS, Quantitative Finance, Master of Science - MS, Quantitative Finance at Singapore Management University