Taylor Li

Taylor (Xin) Li possesses a robust background in quantitative analysis and data science, with experience spanning several prominent financial institutions. At BB&T, Taylor served as a Quantitative Analyst, focusing on model validation for various financial models, including CCAR PPNR and Retail Models. Following that, Taylor advanced to U.S. Bank as a Senior Quantitative Modeler, AVP, where responsibilities included advanced model validation and mentoring junior analysts. Taylor briefly held a position as a Senior Fraud Prevention Analyst at SoFi before transitioning to Meta, where the current role as a Data Scientist focuses on the Reality Lab. Educational qualifications include a Bachelor of Science in Statistics from Anhui Normal University and a Master’s degree in Statistics from Stony Brook University.