Summary
Andres Anania is a quantitative analyst and senior risk modeler with a background in electrical engineering and a Master's in Financial Economics, bringing over a decade of experience at the intersection of physical asset operations and advanced quantitative finance. He designs stochastic portfolio optimization engines, builds econometric forecasting and stress-testing frameworks, and automates analytical pipelines to replace error-prone manual tools. Prior roles in mission-critical observatory software and high-performance systems engineering inform his focus on reliability, low-latency integration, and production-grade deployments. Comfortable across Python, C++ and containerized infrastructures, he combines rigorous Monte Carlo and backtesting practices with pragmatic engineering to operationalize models. Notably, his career blends hands-on control-system simulation for telescopes and 3D-printing firmware with institutional portfolio risk analytics, giving him an unusual edge in modeling complex, real-world systems.
8 years of coding experience
8 years of employment as a software developer
Ingeniería Civil Electricista, Electrical and Electronics Engineering, Ingeniería Civil Electricista, Ingeniería Civil Electricista, Electrical and Electronics Engineering, Ingeniería Civil Electricista at Pontificia Universidad Católica de Chile
Magister en Economia Financiera, Econometrics and Quantitative Economics, Magister en Economia Financiera, Econometrics and Quantitative Economics at Universidad de Santiago de Chile
English, Spanish