David Cressey
AI & data leader building BeautyTech acceleration and marketing effectiveness
New York, New York, United States
Summary
Quantitative risk and research background: David began his career in quantitative finance and risk (derivatives trading and risk-modeling), co‑authored academic work on applying Random Matrix Theory to operational risk correlations, and worked on risk model redesign at LCH/CDSClear and as a structured fund manager at Lyxor. This foundation in rigorous statistical techniques underpins his later work in data science and AI. risk+2
Builder of cross‑functional AI capability at L'Oréal: At L'Oréal David led and scaled the BeautyTech Accelerator and later senior analytics/AI functions, focusing on delivering production AI use cases across marketing, supply chain and product innovation. He combines technical data science knowledge with product and organizational leadership to operationalize AI in a global consumer‑facing company. lesechosleparisien-evenements+2
Public speaker and educator on AI/data topics: He has been invited as a speaker and guest lecturer (ENSAE, École Polytechnique, university masterclasses) and contributes to conversations on ethical/organizational aspects of AI and practical adoption of image and text analytics for consumer applications. ensae+2