Joel Suss is a data journalist and research scientist with 10 years’ experience applying experimental methods, econometrics and machine learning to policy-relevant questions in economic inequality and financial regulation. Currently at the Financial Times after four years as a Research Data Scientist at the Bank of England, he bridges academic rigor and newsroom storytelling to make complex datasets accessible and actionable. His PhD-level training in behavioural sciences at LSE underpins work that combines novel data sources, causal inference and field experiments. Joel’s background spans supervision and policy roles within prudential regulation, giving him practical insight into how evidence shapes regulation. He is adept at moving between deep quantitative analysis and clear public communication, a skill honed through editing and research roles at LSE. Colleagues describe him as someone who turns technical tools into influential narratives that inform both public debate and policy decisions.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Arts (BA) Honours Political Science History, Bachelor of Arts (BA) Honours Political Science History at Concordia University
Contributions:17 commits, 11 pushes in 1 year 3 months
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