Connie Chen

Connie Chen is a quantitative analyst with extensive experience in data analysis and trading strategy development. Currently serving as a Quantitative Analyst Project Intern at PGIM since September 2023, Connie performs word embeddings and applies advanced models to analyze sentiment using AWS SageMaker and Spark. Concurrently, as a Quantitative Analyst Summer Intern at Tsinghua Shenzhen International Graduate School, Connie designs stock trading strategies based on alternative data. Previous experience includes roles at Zonff Partners, JD.COM, Gaorong Capital, and Chinese Merchants Securities, where skills in medium-high frequency trading, dashboard design, and performance analysis were honed. Connie holds a Master's degree in Computational Social Science from the University of Chicago and a Bachelor's degree in Financial Engineering from The Chinese University of Hong Kong, with additional studies at the University of Oxford.