Summary
Xian Zhang is a Senior Economist at Amazon with a decade of experience applying rigorous econometric and machine learning techniques to credit risk, program evaluation, and economic capital modeling. With a PhD in Economics from McGill and a strong applied mathematics background, Xian bridges academic causal inference methods (DID, dynamic discrete choice, SMM) with production analytics using R, Stata, Python, MATLAB, and Tableau. At MUFG he engineered end-to-end Economic Capital workflows and developed random-forest models for simulation-free credit estimation, and at Amazon he has progressed through multiple economist roles to senior leadership. Known as an award-winning team player, he combines deep quantitative curiosity with pragmatic product-facing delivery across global teams. An underappreciated strength is his ability to translate counterfactual policy simulations into operational risk frameworks, making complex causal insights directly actionable for stakeholders.
10 years of coding experience
8 years of employment as a software developer
Master of Arts - MA, Economics, Master of Arts - MA, Economics at Xiamen University
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at McGill University