Summary
Wenzhe Zhang is a data scientist based in Shanghai with a decade-plus professional background and three years focused specifically on data science roles, blending statistical modeling, machine learning, and business analysis to drive data-informed decisions. He holds a Master’s in Financial Statistics and Risk Management from Rutgers and a mathematics degree from Xi'an Jiaotong, experience that underpins his work on quantitative research, factor analysis, and backtesting for trading strategies. Wenzhe has applied SVR and LSTM models in equity prediction, built ETL pipelines with SQL/Python, and translated model outputs into actionable product improvements across companies like 51job, Merkle, and Alpha Vertex. Fluent in Mandarin and English, he is curious, detail-oriented, and collaborative—comfortable bridging technical modeling with stakeholder needs. A less obvious strength is his finance-first technical training, which helps him design models with a clear sense of risk and portfolio impact rather than purely predictive metrics.
12 years of coding experience
3 years of employment as a software developer
Master's degree, Financial Statistic and Risk Management, 3.8/4.0, Master's degree, Financial Statistic and Risk Management, 3.8/4.0 at Rutgers University-New Brunswick
Bachelor's degree, Mathematics, 84/100, Bachelor's degree, Mathematics, 84/100 at Xi'an Jiaotong University
Chinese, English