Our founding team experienced first hand how global banking was stuck with archaic credit data and scoring technologies of the 70s. They were not designed for emerging countries, underbanked consumers or non-banking businesses.
We knew it would take a different kind of company to rebuild Big Data scoring technology from ground up for the Information Age. We founded TrustingSocial to help banks redefine relationship with customers, and connect to billions of unbanked consumers in the world.
We are reinventing credit scoring for the Information Age.
Marketplace lending is disrupting retail banking by leveraging propriety Big Data credit scoring technologies. Our mission is to make the technologies available to as many businesses as possible.
We believe building trust online should be simple. We make our TrustingSocial Authenticity Score available for free to everyone in the world, so that they can build trust instantly with each other.
We bring together expertise in credit risk modeling, machine learning and Big Data.
Nguyen is a serial entrepreneur and Ph.D data scientist. He has years of experience in credit scoring and fraud modeling at Barclays.
Tuyen was a researcher at SRI, where he contributed to a number of DARPA projects. He holds a Ph.D. degree in C.S. from the University of Texas at Austin.
Rohit has 20 years of experience in financial services. He has held leadership roles in Goldman Sachs, Deutsche Bank and Xander. Rohit has an MBA from the University of Mumbai.