Pablo Abreu is Head of Product & Data Science at Socure, a leading provider of machine learning and artificial intelligence technologies that establish a trusted digital identity for onboarding and the entire customer journey. An industry expert in the area of fraud, identity verification, predictive modeling, machine learning, and artificial intelligence, Abreu has been instrumental in the creation of Socure’s ID+ solution as a powerfully predictive tool that is used by top-tier financial institutions and fintechs.
An innovator at heart, Abreu is responsible for the strategy and direction of Socure’s data science efforts. His main focus is on building and delivering highly scalable machine learning/artificial intelligence solutions that challenge the status quo within the identity verification space.
Prior to joining Socure, Abreu served as the Lead Data Scientist at JPMorgan Chase for the Oversight & Controls Room. There, he worked on complex operational risk initiatives designing and implementing statistical, machine learning, and natural language processing algorithms. He started his career at Verizon Wireless where he quickly emerged from munging data to developing predictive models using state-of-the-art machine learning algorithms in support of a variety of departments.
Abreu holds a Bachelor of Arts degree in Mathematics and Philosophy from Hamilton College.