Pablo Abreu is Chief Product & Analytics Officer at Socure, a leading provider of machine learning and artificial intelligence technologies that provide a single source of trusted digital identity for online and in-store applications. An industry expert in the area of fraud, identity verification, predictive modeling, machine learning, and artificial intelligence, Abreu has been instrumental in creating Socure’s ID+ predictive analytics platform, now used by many of the leading institutions across banking, lending, crypto, BNPL, online gaming, digital health, telco, and more.
An innovator at heart as well as the fourth longest tenured employee in an organization now 500+ people strong, Abreu is responsible for the strategy and direction of Socure’s product, data science and technology efforts, driving Socure to emerge as the category-leader in digital identity. 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. Abreu’s efforts have resulted in the highest documented identity fraud capture rates in the industry, enabling banks, fintechs, and other companies online to safely innovate, and rapidly acquire customers and scale in digital channels.Prior to joining Socure, Abreu served as the Lead Data Scientist at JPMorgan Chase for the Oversight and Controls Room. While at JPM, 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 including marketing, fraud, supply chain, finance, customer service, and more.