What I learnt Moderating the Fintech panel at IIT Leadership Conference

  On June 17 I moderated “Fintech , The Path Forward” panel , at IIT leadership Conference in Santa Clara. My three other esteemed panelist were Anju Patwardhan , Senior Partner at CreditEase, Arvind Purushotam , Global Head Citi Ventures & Soups Ranjan , Director Data Science at Coinbase. We had an interesting and engaging discussions covering wide range of…

Online Lenders are doing a good job of identifying the frauds (even without hard income verification)

Default Rate for Verified vs Non Verified Income - Lending Club

Recently there was an article in Bloomberg (Article Link) that talked about how online lenders are not always verifying the basic borrower information like Income. Subsequently it got picked up by websites like Yahoo & Business Insider (Article Link) generating some sensational headlines. Though both articles did mention that sites like Lending Club use various indicatiors and some Machine Learning…

Why build a Proprietary Default Model ?

Default Modeling has been the backbone for all credit decisions in the Banking industry for nearly five decades. The models can vary from as rudimentary as simple bucketing to sophisticated models that use derived risk factors, Markov chains and Machine Learning. At Croudify Ratings when we started looking at the risk ratings available at various platforms we soon realized that we…

Simplified Secondary Market Investing on Lending Club

Investors in P2P loans have long wished to get some guidance on pricing and risk when trading on secondary markets like folioFn (or private platforms for whole loans). Till date the only thing they could do was ad-hoc analysis basis on some factors but it made most uncomfortable. The questions like how is this the right price ? Will prepayment of this performing…