Patricio Ortiz

I am an incoming Schwarzman Scholar at Tsinghua University (清华大学). Before that I was at Stanford, finishing an M.S. in Statistics and a B.A. in Economics, with a stint at Oxford (Man Institute of Quantitative Finance, Statistics Department, and Magdalen College).

My professional experience is in international finance across APAC, with a focus on emerging markets and quantiative work:

• Distressed debt and equity at Cerberus, out of Singapore and Mongolia.
• Fund analysis at RIA, out of Tokyo and Hong Kong.
• Financial engineering, risk management, and treasury operations at the Asian Development Bank in Manila, where I worked on improving the asset-liability model behind the bank’s sovereign loan portfolio.

Academically I’ve been trained as a statistician and economist, and have had the chance to put it to work:

• At the World Bank, evaluating the impact of programs and loans.
• At Oxford, research in causal inference connecting climate shocks to commodity (food) price movements.
• As Head Teaching Assistant for Stanford’s macroeconomics course.
• As a voting member on Stanford’s Board of Trustees’ Engagement and Advancement of the Institution committee.

I deeply love working on statistically tricky and very real problems: non-Gaussian estimation of tail events, operating in illiquid markets, and how to better connect and grow capital in emerging markets. A map of where I’ve worked is under Residual Noise.

Outside of work, I love reading great articles (especially on finance, macro, and stats) — if you have any recommendations, please(!) send them along! I would love to read them. I’m into running, hiking, triathlons, playing piano, cooking (especially exploring historical recipes), learning Mandarin (我的中文名字是孟晓晖) and traveling (35 countries and counting!). I also keep a private dashboard tracking my sleep, training, and misc. health data, mostly as an excuse to do fun statistical learning. Happy to send the code along if you’d like to emulate it!