Duncan Barrack

Quantitative Research Analyst

Cardiff, Wales, United Kingdom
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Summary

👤
Senior
🎓
Top School
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.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor's Degree, Mathematics and Philosophy, First, Bachelor's Degree, Mathematics and Philosophy, First at University of Nottingham

Github contributions (3)

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duncan-barrack/NHPP

Mar 2017 - Mar 2017

Contributions:25 commits, 23 pushes, 1 branch in 3 days
Contributions:24 commits, 22 pushes, 1 comment in 6 days
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