Samuel Groth is a Physical Risk Modeller with a decade of experience applying applied mathematics and computational modelling to climate, engineering and financial risk. Currently at JPMorgan Chase after leading climate risk and carbon accounting analytics at Barclays, he builds quantitative models that translate physical and transition climate hazards into financial impacts for sectoral portfolios. His background spans academic postdoctoral research at Cambridge, MIT and ENSTA Paris where he developed simulation tools for ultrasound therapies, silicon photonics and seismic wave modelling—skills he now leverages to blend rigorous uncertainty quantification with pragmatic model validation. Comfortable coding in Python and managing projects with Git and Jira, he has led validations for large-scale stress test exercises and helped shape sectoral net-zero pathways. Based in London, he pairs deep domain expertise in atmospheric and numerical modelling with hands-on experience embedding climate risk into banking decision-making. An uncommon strength is his ability to bridge academic research methods with production-ready models that meet regulatory and industrial requirements.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Applied Mathematics for Weather/Climate modelling, Doctor of Philosophy (Ph.D.) Applied Mathematics for Weather/Climate modelling at University of Reading
Bachelor's degree Applied Mathematics, Bachelor's degree Applied Mathematics at Imperial College London
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Samuel Groth - Physical Risk Modeller at JPMorganChase