Small businesses have been opening at record rates during and following the pandemic. With so many new businesses seeking capital, and not all of them borrowing with good intentions, Experian thought it would be a good time to talk about mitigating fraud with one of the leading FinTech lenders. Ryan Rosett is the Founder and Co-CEO of Credibly, and he shares several valuable insights with us in this Business Chat.
What follows is a lightly edited transcript of our interview.
Gary Stockton: Hello, and thanks for joining us for this business chat. I’m Gary Stockton from Experian Business Information Services, and I’m here with our Vice President, Dominic DiGiuseppe, and also Ryan Rosett, the founder of Credibly, a fintech dedicated to helping medium and small-size businesses grow via funding decisions that are based on the holistic health and potential of a business.
And we’re here today to discuss fraud as it relates to FinTech in the small business space. Gentlemen, welcome to Business Chat. So Experian has recently released some interesting new statistics on the impact of fraud across several industries, notably that over 39% of recent FinTech inquiries were rated as high risk by our commercial first-party fraud score.
And that’s a predictive score that can predict the likelihood of first-party payment default and the credit bust-out scenarios that we see. These inquiries are projected to carry 62% of all first-party fraud risk within the population. And if you would like to see more on that analysis, we’ll be including a link in the blog post for this business chat.
So Dominic, I wanted to get your reaction to this statistic, given our mission to serve small businesses and considering small businesses make up the greater part of our economy and economic output.
Dominic DeGuiseppe: Yeah, Gary, thanks for that. First and foremost, I want to give a shout-out to our data sciences and product teams for being able to continue to innovate in this space.
But really, when you look at post-pandemic, the amount of businesses that have been created, it’s, we were somewhat surprised by the numbers as well. But the amount of businesses that are being created, the mission that we have an experience making sure that we can help provide capital and we can provide funding and get that into the hands of business owners quickly.
So if we take a look at some of the trends here, the amount of businesses that are being formed since the pandemic is pretty surprising. We’ve continued to see that trend. Rise and stabilize a bit, but it’s still much higher than pre-pandemic levels. So when you think about businesses that are looking to understand the type of fraud that’s being perpetrated or making sure that these types of businesses are actually legitimate as they’re looking to make credit decisions and provide these companies with lending or funding decisions, these are the types of tools that have been that the team has been creating.
Rapid new business formation during pandemic
To make sure that we’re assessing and helping folks determine the levels of risk that are associated with these businesses. I know we’ve talked about this in the past, a few times in different conversations, but can you tell the folks tuning in here a little bit about the Credibly origin story I find it super unique and interesting.
Ryan Rosett: Oh, absolutely. So my partner and I started the business in 2010. If you think about 2010, it was a contrarian time to start a business. It was coming out of, the Great Recession of 2008/2009, and they were always talking about this double-dip recession, but it was actually an opportune time to start just because small businesses were really looking for access to credit.
And what we are is that we’re a cash flow lender. So, we look at the cash flow and make decisions and determinations in a very quick manner to provide working capital at an affordable rate for the customer. So that means, it’s important to us that the business can sustain the payments that we’re providing, and we can maximize the amount of money working capital that we can give them.
So it’s just something that we’re focused on, and we’ve had the wind in our back for a, I would say, eight years. And then there’s something called the pandemic hit, which was like, which, I didn’t sleep for, I don’t know, four months. But it was a period of time that was really like an interesting time for a small business lender, but then recognizing also that the government money really boosted up the small businesses, and it worked well for alternative lenders like ourselves.
Gary Stockton: The pandemic did accelerate rapid digitization, and it does seem like an opportunity for FinTechs to address lending for small businesses digitally. This stat that we were talking about, it’s really quite astounding that there were that number of businesses that sprung up during the pandemic.
It makes a lot of sense, though, when you consider there were quite a lot of people that were transitioning from maybe a different industry into another industry, home businesses springing up. But with so many new businesses coming online and the impact of cybercrime on small businesses, Dominic, how do lenders know whether or not they are dealing with a real business when they onboard new customers digitally?
Dominic DeGuiseppe: Yeah, I think that’s certainly a challenge. And I think one of the things that we’re looking to answer is, really, three things — is the business real? Is the business active? And is the applicant that’s applying for the loan or the type of funding are they actually linked to the business?
I think we can certainly answer for that, but I think, since we’ve got one of the top FinTechs in the space out there, Ryan what is Credibly doing to understand different fraud trends and combat what’s happening within the space with fraud?
Ryan Rosett: What I can say is that fraud is pervasive right now. And, as we’re an online lender, we make decisions in under four hours from app to decision and fund same day. The amount of data alternative data that we’re pulling in to make decisions is really quick. And so the risk that there’s a fraud application coming through is something that we that you know, I’d say that’s largely what we work on.
I would say the three largest fraud patterns that we’re seeing and you addressed earlier, was an application mismatch. Which is against the verified sources that they listed. And then, we also have just altered documentation associated with the bank statements.
And again, that would be something that would be illegal historically, but we’re a nonbank lender. And we’re just trying to make decisions based on the data that we have. And we want to verify that the applicant is the owner of the business. So those are the types of frauds that we’re seeing, I’d say, like a high level and then there are certain things that we do to combat that.
So we will call it stipulations to fund. So we may offer to make an offer subject to them supplying additional information. Maybe it’s the articles of a corporation. Maybe it’s a tax return. And oftentimes, it’s not to say whether you’re profitable or not profitable, we’re looking at who’s the owner, who’s getting K1s on the tax returns?
Those are examples of things that we are looking at. And I know Experian has been an excellent partner of ours in terms of matching and using a number of different data sources that you provide.
Dominic DeGuiseppe: How have you seen fraud evolve pre-pandemic to post-pandemic and continue to take shape and take a different shape, from what’s been happening as to now?
Ryan Rosett: Yeah, that’s a good question. So on a pre-pandemic basis today, we’re back to the same level of losses. Okay. But the fraud is becoming a little bit more advanced. Okay. Whether it’s be it through cyber attacks, whether it’s online applications, there’s a number of different things that we’re working on that we’re constantly combating. So it’s not it’s not something that we put a fix in and then we move away. It’s something that we’re constantly evaluating, whether it’s a submitting partner, or whether we have an affiliate that provides a certain number of lead applications.
Those are things that we’re constantly measuring to see what the loss rates are, where the fraud is coming from, and then making decisions. So from a pre-pandemic to a post-pandemic, I’d also say that with the PPP, small businesses got a taste of working with alternative lenders through the PPP process, and they became a little bit more comfortable with working with lenders similar to Credibly. So you’re seeing like a little bit more comfortability with small businesses having the ability to interface with us and then they’re layering in fraud and things of that nature. So it’s a constant something we’re combating on a daily basis, and it’s something that we’re thinking about, very often.
Dominic DeGuiseppe: Yeah, because when you start to look at it and all the new businesses that are being formed that are coming into the market, working with alternative lenders and FinTech’s like yourself, and you guys continuing to shorten the cycle around the app to approval and all the data points that are coming into it. You guys are different than a bank and are able to do those types of things and move quickly. So obviously, with that comes some additional risk; with the FinTech community being tight-knit, how have you been able to benchmark what Credibly is doing against some of the peers that you guys work with in the industry?
Ryan Rosett: We have and that’s really through public data through asset-backed securitizations; there’s reporting relating to the losses that each lender is seeing, of our losses, approximately 10% of our losses we attribute to fraud. The other 90% is, it could be a business that legitimately goes out of business, which happens. So, it’s not necessarily fraud. We do benchmark it based on some of our competitors that have asset-backed securitizations and we see the performance in their loss rates and charge costs and things of that nature.
Gary Stockton: So, what are you seeing in terms of an amplifying effect on fraud rates with generative AI in the mix and allowing for spoofed content and more access to triangulated private information on business entities?
Ryan Rosett: You know, that’s a great question. One thing, you’re seeing fraudulent IDs. You’re seeing IDs that are becoming a little bit more difficult to track and see, because they’re creating an identity of someone and they’re able to do that through gen AI.
So that, that’s one aspect. You’re also seeing bank statements. We use a number of different bank statements, parsing, and machine learning that looks at these bank statements. It’s looking at font type size. There are a number of things when somebody is attributing and oftentimes, sometimes the fraudster is making grave errors also. They’re putting data in where data wasn’t supposed to be. You’re able to detect that really quickly and that’s on an automated basis. So that doesn’t even touch a human. We see fraud, we kick it out. And, it’s declined. So it’s a, it’s, when we see a, when we fund a fraud application and it’s noted as a fraud that we’ve determined fraud, we then report it we have a, there’s a data matching system that we report into so that business owner would never be eligible for. Business financing through an alternative lender. Again,
Gary Stockton: Dominic, any closing thoughts?
Dominic DeGuiseppe: Yeah, Gary, I would say just in terms of, generally speaking, fraud continues to evolve. There’s a number of different things that we’re looking at from a business perspective to be able to help our partners. But, Ryan’s pointed out a number of those things today, but as FinTechs continue to evolve, fraudsters will continue to evolve and Experian is on our journey to continue to help understand how we can benefit our business partners, making sure that they can combat fraud and keep it out of the business.
Gary Stockton: That’s great. I think that’s a great place to leave today’s chat. Dominic, and Ryan, thank you so much for taking time out to share your perspectives on fraud in the commercial space on Business Chat. Thanks for watching, everyone.