Jeremy Cahill is a treasury and finance leader with 10 years of experience applying data science and AI to liquidity management and cross-border payments. He has driven measurable impact at firms from Crédit Agricole to Stripe and Shopify, building data pipelines and ML models that saved millions annually and eliminated thousands of manual hours. At Shopify he architected an automated funding and liquidity recommendation engine and deployed CNN-based transaction classification to accelerate anomaly detection and forecasting. Equally comfortable trading FX and designing treasury infrastructure, he blends front-line market experience with advanced analytics informed by an MSc in Data Science from Johns Hopkins. Based in the New York City area, Jeremy pairs strategic leadership with hands-on implementation—often bridging engineering, product and treasury—to turn complex cash-flow problems into production-grade AI solutions. Notably, he maintains an organizational focus over personal open-source presence, directing outreach through his company channels rather than an active GitHub profile.
10 years of coding experience
11 years of employment as a software developer
Johns Hopkins University
Bachelor of Arts Political Science Business History, Bachelor of Arts Political Science Business History at University of Rhode Island
Contributions:1 PR, 6 pushes, 1 branch in 4 months
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