Junqi Zhao
Senior Manager, Quantitative Analytics
Greater Philadelphia United States
Summary
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Senior🎓
Top SchoolJunqi Zhao is a Senior Manager in Quantitative Analytics with 8+ years of machine learning experience and a Ph.D.-level research background, currently leading model development and validation for credit risk, regulatory stress testing, and AML at TD Bank Group. He builds and deploys explainable, production-grade models—XGBoost, EBM, and deep neural nets—integrated into Azure and PySpark pipelines to support CCAR/DFAST and Basel compliance. Junqi combines applied ML with interpretable modeling and scalable systems, reducing model complexity while preserving accuracy and turning audit-sensitive models into transparent decision tools. He has an active research footprint with 15+ peer-reviewed publications and 70+ journal reviews, reflecting sustained academic engagement alongside industry delivery. Known for cross-functional leadership, internal training, and mentoring, he translates complex methods like Bayesian optimization and multi-task learning into practical improvements in credit underwriting and fraud detection. An unusual strength is his track record of applying research techniques (GANs, transfer learning, explainable AI) from doctoral projects to tangible risk-management gains in banking.
8 years of coding experience
4 years of employment as a software developer
Doctor's Degree, Architectural Engineering, Doctor's Degree, Architectural Engineering at Penn State UniversityMaster's degree, Managmement Sccience and Engineering, Master's degree, Managmement Sccience and Engineering at Tianjin University
Chinese, English
Stackoverflow
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Github Skills (22)
activity-recognition9
python8
deep-learning8
gpu8
recurrent-neural-networks8
machine-learning8
lstm-neural-networks7
smartphone7
six7
neural-network6
lstm6
tensorflow6
keras5
numpy5
gradient-boosting4
Programming languages (2)
Github contributions (5)
JunqiZhao/Convolutional-LSTM-for-Wearable-IMUs
Nov 2019 - Aug 2020
Contributions:9 commits, 2 pushes in 8 months
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