Head of Machine Learning - Application Fraud

At SentiLink, we are at the forefront of combating identity fraud through groundbreaking technology and deep industry expertise. Founded in 2017 by Naftali Harris and Maxwell Blumenfeld, who previously engineered the risk and fraud systems at Affirm, SentiLink was born out of a direct understanding of the evolving challenges in identity verification. Our mission is to empower financial institutions and individuals to transact with confidence by providing innovative solutions that prevent synthetic fraud, identity theft, and other emerging fraud vectors at the critical point of account opening. We leverage cutting-edge machine learning models and insights from a dedicated team of top risk analysts to deliver real-time, high-precision fraud detection. This dual approach, combining advanced technology with human intelligence, allows us to stay ahead of increasingly sophisticated fraudsters and protect our partners from significant financial losses and operational burdens.

SentiLink's commitment to innovation is demonstrated by our pioneering work, including being the first organization to offer eCBSV (electronic Consent Based SSN Verification). Our comprehensive suite of products, including Synthetic Fraud Scores, ID Theft Scores, and KYC Insights, provides a robust defense against a wide spectrum of identity-related risks. We serve a diverse clientele, ranging from 10 of the 15 largest U.S. banks and 5 of the top 10 credit unions to over 30 fintech unicorns, verifying millions of identities daily. Our technology not only flags high-risk applications but also identifies benign discrepancies, enabling our partners to approve more legitimate customers faster and reduce friction in the onboarding process. Headquartered in San Francisco, California, SentiLink is dedicated to building the future of identity verification in the United States, making the financial ecosystem safer and more secure for everyone.