Summary
Pan Hao is a quantitative risk analyst with 9 years of experience applying advanced stochastic modeling and numerical methods to interest rate and counterparty credit risk at Citigroup. He holds a PhD in Physics from Tulane, where he developed and validated quantum Monte Carlo–based functionals and large-scale statistical comparisons—skills he now leverages to build robust IR simulation, backtesting and EAD calculation frameworks. Proficient in C++ and object-oriented design, he has implemented tree, Monte Carlo and finite-difference solvers as well as Newton–Raphson routines for implied volatility, and helped design margin algorithms and netting aggregators for Basel compliance. His background in fundamental research gives him a rare depth in probabilistic modeling and statistical validation, enabling practical solutions for complex derivative products such as caps, floored rates and path-dependent exotics. Based in New York, he blends academic rigor with production-focused engineering to improve model accuracy and regulatory reporting.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Tulane University
Bachelor, Physics, Bachelor, Physics at Shanghai Jiao Tong University
English, Chinese