Alexander Cumberworth is a quantitative risk modeller with a decade of analytical experience now applying theoretical and computational science to credit risk at ABN AMRO in Amsterdam. Trained as a computational chemist (PhD, Cambridge) with a track record of developing models and sampling methods from scratch, he has published high-impact theory explaining biological phenomena and collaborated closely with experimental teams. His background spans molecular simulation, statistical modelling and reproducible data practices, and he has led international research collaborations and written group-level reproducibility guidance. Comfortable turning complex theory into practical, auditable methods, he brings rigorous mathematical thinking and production-focused implementation to financial risk modelling.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational Chemistry, Doctor of Philosophy (Ph.D.) Computational Chemistry at University of Cambridge
Master’s Degree Genome Science and Technology, Master’s Degree Genome Science and Technology at The University of British Columbia
Contributions:18 pushes, 1 branch in 6 years 5 months
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Alexander Cumberworth - Quantitative Risk Modeller