Al Goldstein: We just focused on the things that are most critical to the business. In our case, it was building out the regulatory infrastructure from day one, and building data reporting and analytics infrastructure. There was demand because there are a lot of customers looking for lending products. As we’ve grown our business, we
Sramana Mitra: When you went to market, what about the institutional partner side? Did you go to market with a set of institutional partners pre-negotiated? Al Goldstein: No, we didn’t. In these marketplaces, you have to match both sides. To get started, we lent only our own capital. We raised equity capital. We have raised
Sramana Mitra: Is your offering for any kind of credit or is this for a specific kind of credit? Al Goldstein: We provide two products today in two markets where we operate in the US and the UK. Our first product is an installment loan product. This type of loan ranges from $1,000 to $20,000
Al Goldstein: The real estate business was a lot more competitive and a lot more difficult. What we saw was a huge opportunity in providing credit alternatives to near-prime or mid-prime borrowers. Half of the credit spectrum are all customers making about $50,000 to $60,000 a year and with credit scores between 600 and 700.
Consumer Credit is a $10 trillion dollar industry that Al and his team are trying to turn on its head. Aided by Big Data and machine learning, they are creating a direct to consumer lending model that may have far reaching impact on the financial services industry. Sramana Mitra: Let’s start at the beginning of