Summary
Chris Hyland is a doctoral student in Quantitative Finance at Oxford with eight years of interdisciplinary experience spanning quantitative research, software engineering, and data analysis. He blends rigorous academic training—PhD work at Saïd Business School and an MPhil in Economics—with hands-on roles at institutions like Goldman Sachs, Amazon, and the Oxford-Man Institute, focusing on fixed income, bond term structure models, and macro-finance. His research has informed public policy and industry through collaborations with government departments and the RSPB, and he has interned in discretionary global macro at SPX Capital. Comfortable both coding and modeling, he pairs advanced mathematical and statistical skills from Sydney with practical software engineering experience from QuantEcon and IAG. Colleagues describe him as a researcher who translates complex theoretical ideas into implementable models and policy-relevant insights.
8 years of coding experience
2 years of employment as a software developer
Master of Philosophy - MPhil, Economics, Distinction with Distinction for Thesis., Master of Philosophy - MPhil, Economics, Distinction with Distinction for Thesis. at University of Oxford
Doctor of Philosophy - PhD, Quantitative Finance, Doctor of Philosophy - PhD, Quantitative Finance at Saïd Business School, University of Oxford
The University of Sydney
English, Thai, Japanese, Chinese