Summary
John Hurford is a quantitative investment strategist with 10+ years of experience building and managing portfolios at major institutions and boutique firms, currently serving as Chief Investment Strategist at Savoie Capital and Senior Portfolio Manager at GMAG Holdings. Trained in Financial Engineering at UC Berkeley, he blends advanced statistics, econometrics, stochastic calculus and Monte Carlo simulation to design robust, back-tested investment strategies. His career spans front-line portfolio management roles at UBS and Bank of America where he translated quantitative research into risk-managed trading and allocation decisions. Comfortable across machine learning, deep learning and NLP, he focuses on marrying data science with practical optimization and numerical analysis to extract edge from noisy markets. Not obvious from titles alone, he routinely implements production-quality back-testing frameworks and probabilistic models that prioritize interpretability and stress-tested performance. Based in Los Angeles, he brings a hybrid skill set of rigorous academic training and hands-on portfolio execution.
9 years of coding experience
12 years of employment as a software developer
Master's degree, Financial Engineering, Master's degree, Financial Engineering at University of California, Berkeley, Haas School of Business
BBA, Business Administration, BBA, Business Administration at University of San Diego