Podcast: Retail POS lending is a chance for lenders, Pagaya president says


Level-of-sale financing instead cost methodology is a rising alternative for lenders, expertise firm Pagaya’s President Sanjiv Das says on this episode of “The Buzz” podcast.  

In response to auto lender and Pagaya accomplice Ally Monetary, POS financing is predicted to achieve a worth of greater than $81 billion by 2030.  

“This new class of loans is a very new thrilling asset class,” he says. It “shall be transformational to lending in our establishments within the subsequent few years.”  

Customers can get hold of retail POS loans for medical functions, instructional functions or house enchancment, Das says. If a shopper needs a house enchancment mortgage, as a substitute of making use of on the financial institution, they’d apply at a House Depot, for instance. 

Pagaya works with U.S. Financial institution and just lately prolonged its relationship with the financial institution to incorporate U.S. Financial institution’s subsidiary Elavon’s point-of-sale enterprise, Das says. 

Pay attention as Das discusses POS financing and the chance it presents for lenders. 

Early-bird registration is now out there for the inaugural Financial institution Automation Summit Europe 2024 in Frankfurt, Germany, on Oct. 7-8! Uncover the newest developments in AI and automation in banking. Register now.   

The next is a transcript generated by AI expertise that has been calmly edited however nonetheless incorporates errors.

Whitney McDonald 13:45:11
Whitney, hiya and welcome to The Buzz, a financial institution automation information podcast. My title is Whitney McDonald and I’m the editor of financial institution automation Information. At present is June 25 2024 Becoming a member of me is Sanjiv Das, president of pagaya. He’s right here to debate the facility of information. Pagaya is banking companions and the evolution of POS retail lending. Thanks for being right here on The Buzz.Sanjiv Das 13:45:35
Certain. Whitney, thanks for this chance. I joined pagaya About six months in the past as president, and as you recognize, pagaya is a FinTech, credit score answer supplier. It has a two sided mannequin. It offers loans to shoppers that will sometimes not get a mortgage from their mainstream lender, pagaya approves these loans by an API interface with the mainstream lender, after which by a pre funded mannequin, it sells these loans straight into an ABS construction. So pagaya is a two sided has a two sided mannequin, shoppers on one aspect, ABS, buyers on the opposite aspect, and pagaya is within the center. That principally facilitates loans to those that wouldn’t have usually obtained their loans by a mainstream lender. By means of background, I used to be CEO of caliber house loans earlier than this, and had an amazing extent ensuring that customers bought mortgages and shoppers purchased properties. Earlier than that, I used to be at first information, which was a KKR owned firm. I took, took that public together with a staff of individuals at first information, which now known as Fiserv. And earlier than that, I used to be CEO for Citibank’s mortgage Division throughout the housing disaster.

Whitney McDonald 13:46:50
Nice, properly, plenty of nice expertise as you type of break into this function at pagaya. I do know that you simply talked about you’ve been within the function as president for about six months. I feel you you began or took on that function in October, perhaps speak us by what’s been occurring the previous six months? What have your high of thoughts? What have you ever been engaged on? Or what was your first orders of enterprise? Properly,

Sanjiv Das 13:47:12
one of many first issues was that I spotted banks actually wanted somebody like pagaya to accomplice up with them, and so we now have actually sharpened our technique with respect to complementing the financial institution providing. We introduced our partnership with US Financial institution not so way back, and have now prolonged that relationship from the US Financial institution Private Loans enterprise to the elevon level of sale enterprise. Now we have now spoken to shut to fifteen banks, and have actually, actually sturdy institutional protection with respect to the financial institution, in order that that enterprise is doing rather well. Banks understand that as a way to broaden the bottom of their choices to shoppers, significantly People who can’t get credit score by regular mainstream establishments, they discover pagar to be a superb accomplice to enrich with. In order that’s been actually my primary focus, and the second has been ensuring that our worth proposition is known there by our abs buyers. As you recognize, this has been a reasonably unstable market with respect to rates of interest, and so we’ve been ensuring that we meet the wants of our abs buyers. So ensuring that the 2 sides of our two sided worth proposition is powerful has been my focus within the final six months. Nice.

Whitney McDonald 13:48:33
Properly, thanks a lot for speaking by that focus. And one factor that we will type of dive into right here is a few of these conversations that you simply’re having with monetary establishments and type of broadening what you’re providing to them. In fact, we will’t have conversations these days speaking to tech suppliers with out mentioning AI and the AI infrastructure that you simply provide, perhaps we will take a step again earlier than we get into the financial institution dialog and speak somewhat bit in regards to the innovation. How do you make sure that that your staff retains up with an evolving expertise like AI, so that you could offer tech that’s comprehensible, usable, that that shoppers can faucet

Sanjiv Das 13:49:12
into? However proper now, I’d say that the truth that we make selections which might be primarily based on actual information that we accumulate from our monetary establishments in a means that there isn’t any human bias, however there’s guidelines which have been codified are extraordinarily necessary methods through which we now have made selections. Secondly, we’ve made positive that we proceed to evolve how shoppers will behave by totally different intervals of stresses, as I’m positive you’ll be able to inform, with inflation being excessive and charges being considerably excessive, we now have made positive that we modified our fashions to be sure that shoppers throughout totally different asset lessons, whether or not they’re private loans or auto loans or level of sale loans, that the habits is one thing that we’re monitoring throughout these totally different. Asset lessons. So if, for instance, we discover that there’s some stress occurring within the auto aspect of our enterprise, we are going to instantly translate that to the private mortgage aspect, understanding that there’s a sure hierarchy or a sequence by which shopper asset lessons go delinquent. So we’ve been utilizing quite a lot of our intelligence, utilizing information, as I stated, versus human biases, to actually perceive how markets are behaving and the way shoppers are prone to behave. So to us, using information proper now has been predominant in ensuring that we actually leverage our fashions, and understanding cross sectional information has been actually vital. As a substitute of creating positive that we focus extra on avoiding shopper delinquency for a given set of shopper loans, that’s actually been the place our focus has been. Yeah,

Whitney McDonald 13:51:05
I imply, quite a lot of conversations proper now across the the information is king, proper? So leaning on these leaning on that information as a way to affect these AI fashions. And quite a lot of monetary establishments have quite a lot of information, however how do you faucet into that and manage it? So yeah, that’s nice. Possibly we will speak by now, what a few of these conversations along with your monetary establishment shoppers, or people who you’re you’re in talks with? What are they asking for? What are they searching for proper now. What are a few of these conversations entail? Possibly speak by a few of these traits.

Sanjiv Das 13:51:38
There are these discussions have been actually terribly thrilling. Whitney, it’s actually attention-grabbing as a result of the monetary establishments, or the banks on one aspect, are actually watching what’s occurring with charges and actually constrained in some methods, with the place regulation is demanding larger regulatory capital for them on loans that banks really feel are decrease credit score rating for them, and they also discover us to be wonderful companions who will are available and complement their lending technique. So there have been actually intense discussions occurring with banks about how pagaya can assist them much more. And this isn’t hyperbole. That is what I’ve skilled in my final six months in assembly with a number of banks, Financial institution CEOs, a lot of them, my colleagues from my prior banking expertise, they’re all actually within the pagaya answer throughout their private loans companies, their auto companies and their level of sale companies. All of them desire a second mortgage supplier like pagaya. So on the highest ranges, these discussions have change into extraordinarily intense due to each charge pressures in addition to regulatory pressures. The second factor is, banks actually love the truth that pagaya takes these loans off their steadiness sheet, sells it to the ABS investor market, however offers the client again to the financial institution for them to have the ability to service these loans. So banks discover that mannequin to be actually complementary to what they do, the place they preserve the client and the client relationship, however not the asset on which they want larger regulatory capital. These discussions have been going extraordinarily properly. And the third factor I’d say that banks and us have been extraordinarily cautious and diligent about ensuring that our fashions comply with all the best guidelines and laws round truthful lending. It’s not simply in regards to the loans we approve, it’s additionally in regards to the loans that we don’t approve. So we need to be sure that once we don’t approve a mortgage, they’ve the best explanatory half about why the mortgage didn’t get authorized. And we proceed to make ourselves and our banks strong, as a result of we now have to fulfill the excessive requirements that our banks and our that our banks should our financial institution companions have to fulfill with. And so I really feel actually good in regards to the industrial power of pagaya to have the ability to ship that, yeah,

Whitney McDonald 13:54:12
having that confidence within the determination making. I imply, explainability is essential, even simply from a compliance perspective. You must have that explainability in place now, with these conversations in thoughts and type of the place these are main and what concepts are coming to the desk. How do these conversations spark innovation concepts, or drive innovation concepts inside pagaya,

Sanjiv Das 13:54:36
yeah. So quite a lot of the innovation that we now have proper now’s in using information, as I discussed earlier than, and I don’t need to make it sound any extra unique than it’s, as a result of information in itself is so highly effective that understanding, for instance, the information that’s behind a financial institution’s current buyer base, versus new clients or. Along with new clients, is one thing that’s extraordinarily beneficial to us, and that’s been a brand new supply of innovation when it comes to our new product growth and our new product design. So to date, pagaya has been a re-assessment supplier to new loans {that a} financial institution would originate. Now, pagaya is changing into a mainstream advisor to current loans {that a} financial institution has, and that’s the innovation, as a result of these current loans, the financial institution already has efficiency information on them. So along with bureau information, we additionally take a look at Financial institution current information, and to us that has been an amazing supply of with the ability to open up the credit score field to extra loans for current financial institution clients. So think about in case you had been, let’s say, a Sofi, and also you had a depository buyer, and that depository buyer had a FICO of 680 and SoFi needed to say no to their very own depository buyer, that will be embarrassing, and that buyer now will get a pagaya mortgage by SoFi and and, you recognize, so now the client has a a lot larger diploma of satisfaction with their main lender and their main depository financial institution. And so retains that relationship with couch and makes it stronger.

Whitney McDonald 13:56:35
Thanks a lot for that instance, it’s it type of helps perceive somewhat bit extra what you’re really carrying out right here with with padaya, and the way issues are are altering and evolving, and the way the expertise and the information is getting used. Possibly we may speak take that somewhat bit additional. How else are some shoppers tapping into pagaya now? Or what are a few of these different use instances now that that shoppers are having success with

Sanjiv Das 13:57:03
Yeah, so I discussed to you ways pagaya works with banks. On the private mortgage aspect, we not solely work with conventional cash heart banks, but additionally the FinTech banks. I gave you the instance of SoFi Lending Membership. They’re examples of FinTech banks. The most important cash heart banks being US Financial institution. Pagaya has additionally had deep relationships with auto lenders, so ally, for instance. And the massive factor that we’re realizing in {our relationships} with with our lending companions, is that’s that it’s not nearly with the ability to present credit score, nevertheless it’s additionally with the ability to approve extra loans that comes by their sellers, for instance, or by their branches. So there’s quite a lot of middleman satisfaction after they don’t should say no, they usually can say sure to extra clients. Now, probably the most thrilling factor, although, has been in the previous couple of months, and I gave you the instance of elevon, is the quickly evolving asset class, as we name it, or space of lending, which is level of sale. Klarna has for a very long time been an enormous shopper of ours, however the Klarna small ticket loans that I’m positive you’re aware of is clearly one thing that’s been an amazing, nice instance for us within the level of sale enterprise. However we’re realizing that there’s a new type of as properly, new for us, nevertheless it’s been there for some time now of asset class that’s rising, which is principally retail like level of sale. So these are loans which might be given for, let’s say, medical functions, or loans which might be given for schooling functions, or loans which might be given for house enchancment. So let’s say you need to do a house enchancment mortgage, so as a substitute of making use of for a separate house enchancment mortgage, you basically apply for a mortgage on the level of sale, let’s say, at a House Depot, and that mortgage is given by US Financial institution. However really that mortgage is on the again finish, really being given, authorized by pagaya for house enchancment functions. However that mortgage. For that mortgage, the client didn’t have to come back to a financial institution department for that customized. That buyer bought the mortgage, doubtlessly at a House Depot retailer, you recognize what I imply. So these level of sale loans which might be bigger in in dimension, 15, $20,000 typically longer when it comes to length, 18 months, 36, months, 60 months, versus the small ticket gadgets at a Klarna level of sale, the place you had so as to add an at a digital checkout, you’d have a Klarna possibility out there to you if you’re testing. This, these, these new class of loans, is the actually new thrilling asset class that’s that, for my part, shall be translational to lending in our establishments within the subsequent few years? Yeah,

Whitney McDonald 13:59:55
the purpose of sale loans exterior of a standard establishment is simply a kind of progressive avenues the place you will get entry to capital in a non conventional place, even like inside a House Depot, proper? Sure, precisely No. That’s that’s various things that which might be in place and also you’re engaged on it. I’m positive seeing adoption tick up there. When you concentrate on the both quick time period or long run efforts that you simply’re engaged on, what’s subsequent for pagaya, what are you engaged on now? Or what’s subsequent for sure AI, or the way you’re growing or tapping into information. What’s subsequent? What are you working

Sanjiv Das 14:00:37
on? Properly, we’ve realized that we now have as a result of we now have 30 companions, and we now have a lot information, and we now have such good understanding throughout asset lessons, that our capacity to scale up and to have the ability to ship our answer to let’s simply take banks for a second as a as a phase of lenders. It’s simply such an enormous alternative that one may say we don’t even know what the market cap of this chance goes to appear like what the TAM of this, of this chance goes to appear like. Banks are going to proceed to shrink their credit score field bug guys proceed to go to going to increase its partnership with banks for precisely the identical purpose. The opposite factor that’s actually necessary is that as information and machine studying and AI methods are enhancing, our methods are additionally enhancing. And I’m positive you’ve been studying and listening to about totally different sorts of AI methodologies or machine studying applied sciences which have a lot larger explanatory energy when it comes to shopper mortgage acceptance or rejection. So we’re spending quite a lot of time understanding the facility of the underwriting course of. And our hope is that as we proceed to get higher and higher at what we do in private loans and auto after which from auto to level of sale loans, that we are going to increase that very same functionality to all types of shopper lending, together with bank card sometime, house fairness loans, scholar loans. I don’t need to get forward of myself, nevertheless it definitely is heading in that route the place we’re really changing into an knowledgeable in complementing monetary establishments throughout all types of shopper lending.

Whitney McDonald 14:02:32
Now yet one more query, and we will type of get into the expertise right here. Let’s say you do have a monetary establishment interested by partnering. What does it tackle the expertise aspect as a way to faucet into the establishment? What do they should have in place?

Sanjiv Das 14:02:48
That’s an amazing query. So once we speak to a monetary establishment, we undergo a reasonably intense means of actually guaranteeing, as soon as we get previous the worth proposition of what pragaya does, actually guaranteeing that our fashions are fashions that they’re utterly comfy with, as a result of the as a result of the the patron is assuming that the lender is the true lender, we now have to behave, and we’re performing on behalf of the lender. Now we have to be sure that the mannequin requirements that we now have are as much as the requirements that the lending establishment would have. Second, we need to be sure that the mixing of our fashions into the financial institution underwriting system, the origination system, is seamless, and so we undergo a reasonably intense onboarding course of. Typically it takes Whitney eight to 12 months to actually onboard the pagaya expertise answer and and be sure that our APIs which might be related to the financial institution origination methods are completely seamlessly built-in, in order that the go by of a mortgage from a financial institution to us or from any lending establishment to us, is seamless to the patron. After which we be sure that the mortgage is authorized in seconds, milliseconds, in order that it’s it principally runs by our our methods and will get authorized or not. After which we need to be sure that the chain doesn’t cease there, that, as you recognize, the supply cycle goes all the way in which from from as soon as the mortgage is authorized, to how the mortgage sits within the financial institution’s steadiness sheet for at the very least, you recognize, a few days. After which comes throughout to our abs funded construction in a seamless means. The grasp Belief, the ABS belief, are all form of concerned on this course of. After which the mortgage goes again to the cons, to the to the lending establishment servicing aspect, so it makes positive that the servicing is seamless. So additionally, it’s a non trivial expertise integration course of. However the fantastic thing about this entire course of. Is, when you’ve carried out it, then you’ll be able to do two issues. Primary, you you might be in within the banks or the lending establishments expertise infrastructure, so that you’re a part of their providing. And quantity two, when you’ve provided it to at least one aspect of a techno provide of a monetary establishment. Let’s say you’ve provided it on the private mortgage aspect to increase it to the purpose of sale aspect is definitely fairly easy, so intense at first, however fairly easy when you’ve carried out the exhausting

Whitney McDonald 14:05:48
work you’ve been listening to the thrill a financial institution automation information podcast. Please comply with us on LinkedIn, and as a reminder, you’ll be able to charge this podcast in your platform of alternative. Thanks in your time, and be sure you go to [email protected] for extra automation information. You.



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