Summary
Duncan Barrack is a quantitative research analyst with 11 years of experience applying statistics and machine learning to mid-frequency, fully systematic equities strategies at Quantbot Technologies. He holds a PhD in applied mathematics and has a strong academic background as a former postdoctoral researcher at the University of Nottingham, with publications in top ML and applied maths venues including KDD 2015. His prior work spans ML-driven retail and healthcare projects—customer targeting, demand prediction and hospital admissions modelling—and earlier modelling of plant hormone dynamics, reflecting broad domain adaptability. A competitive data scientist, he placed fourth in the Kaggle BCI challenge for EEG time-series classification and was featured in the Kaggle winners’ blog. Based in Cardiff, he combines rigorous academic training with production-focused quantitative research, bridging theory and trading implementation. An unusual strength is his track record moving cutting-edge ML research into practical, revenue-driving strategies across diverse sectors.
11 years of coding experience
6 years of employment as a software developer
Bachelor's Degree, Mathematics and Philosophy, First, Bachelor's Degree, Mathematics and Philosophy, First at University of Nottingham