Data Dive: Alt-Lending, Auto Loans And HHGregg | PYMNTS.com

Ain’t seen nothing yet …

 

For those who are fans of big twists, stunning reversals and spectacular admissions of defeat, this week’s data dive should keep you vastly entertained.

Source: Data Dive: Alt-Lending, Auto Loans And HHGregg | PYMNTS.com

Credit Reports to Exclude Certain Negative Information, Boosting FICO Scores.

OK – not sure about this, but it has a distinct “deja-vu” feeling in my book – and if one has been in this business as long as I have, it’s clearly not pointing to anything good here.

The decision by the three major credit-reporting firms— Equifax Inc., Experian PLC and TransUnion—could help boost credit scores for millions of U.S. consumers, but could pose risks for lenders. The reports and scores often help decide how much consumers can borrow for a new house or car as well as determine their credit-card spending limit.

The unusual move by the influential firms comes partially in response to regulatory concerns. The three reporting bureaus rarely tinker with the information that goes on credit reports and that lenders consult to gauge consumers’ ability and willingness to pay back debts.

So let me get this straight. We’re going to make it easier for people to access credit (a good thing) by artificially boosting their credit rating (a bad thing)? Reminds me of the pre-housing bust period, where everybody and his dog got approved for NINJA loans, in the name of “democratization of access to housing”, and we’ve all seen what that has brought us. We’re still digging out of that one.

Maybe useful to read the latest Orchard stats on marketplace lending charge-offs by quarter as per the article here:

Source: Credit Reports to Exclude Certain Negative Information, Boosting FICO Scores – WSJ

Is it OK for lending algorithms to favor Ivy League schools?

This article goes deeper into the subject matter, and addresses a number of issues that are important indeed. In the long run though, it’s clear that this has only one way to go, and it’s a positive story. The human factor being what it is, there is always going to be a bias. Put more machines in charge, let them learn, and we’re off to a better credit world, no doubt. 

The main mantra used to be “software is eating the world”. Mine these days and going forward is “AI and Machine Learning is eating all the rest”. TGIF – but have a good read nevertheless.

“I think a baseline question is, how much disparate impact already exists in the system?” said Paul Gu, co-founder of the online consumer lender Upstart, which includes the potential borrower’s college in its underwriting criteria. “I think we would be kidding ourselves if we thought that the traditional way of underwriting was a completely unbiased way of underwriting. If you look at credit scores by any demographic, they’re extremely uneven. If you look at credit access in America, it’s extremely uneven.”

Source: Is it OK for lending algorithms to favor Ivy League schools?

I’m Renting a Dog? – Bloomberg

Oh my … really not sure what to think here. Technology to the rescue? Canine overreach? Smells like a bad combination of otherwise good intentions. But again, where’s the moral compass? Am I alone in thinking this is not the right way to do things? Up next I guess, … renting your wife and kids – that’ll be a new low.

In Wunderlich’s telling, U.S. lenders do a good job of pricing credit for prime borrowers, lowering their interest rates as their credit scores rise. But lenders have taken a cruder approach with the millions of subprime borrowers, extending the same high interest rates to large swaths, regardless of their individual credit histories. Wunderlich says he wants to “democratize access to credit through dynamic pricing across the credit spectrum”—a fancy way of saying his customers pay rates based on their own ability to repay, not someone else’s.

Source: I’m Renting a Dog? – Bloomberg

Six ways Goldman Sachs’ online lender, Marcus, strives for an edge

There is a reason why they are slowly but surely going to crush it. Plain vanilla approach, no IVR, no fees, no nothing to p… you off. Sounds like a no-brainer to me, though it shouldn’t be. No wonder most of the players can’t make a profit, and that goal will remain elusive for most of them for the foreseeable future. Not for these guys though. Go Marcus!

Goldman Sachs, a recent entrant to the field, is no exception. At the LendIt conference in New York Tuesday, Harit Talwar, head of digital finance at the investment bank, explained this and other components of Goldman’s strategy for its four-month-old online lending division, Marcus.

Source: Six ways Goldman Sachs’ online lender, Marcus, strives for an edge

How fintechs are using AI to transform payday lending

Big Data, AI and Machine Learning getting some needed attention here, no less by the people at American Banker. Something’s afoot? Yes indeed, and we ain’t seen nothing yet. The upward march will be long and “volatile”, but has only one way to go. It’s one of the great ways we’ll be able to help a large part of the un- and underserved population at many different a level. Stay tuned for more, but enjoy the observations below.

“Flannery said machine learning engines are less discriminatory than people.”

“Humans tend to do things like redlining, which is completely ignoring an entire class,” he said. “Machine learning algorithms do [lending] in a multidimensional, ‘rational’ way.”

penny.crosman@sourcemedia.com

Source: How fintechs are using AI to transform payday lending

Marketplace Lending and the Three Bears: A FinTech Tale – Wharton FinTech – Medium

Sweet write up from a keen observer, helpful in the run up to the most important event of the year in P2P Land – the LendIt NYC conference on March 6 & 7. Yours truly will be present, with different hats and a big appetite and pipeline – so reach out to me if you want details. That said, nothing really novel here, and I would like to see more coming from out of left field, like developments in Big Data/AI/Machine Learning and its impact on the quality of underwriting; Gaming and Gamification techniques that will inevitably change the way the customer is being acquired; and what startup activity is interesting enough to upset an industry that is becoming a bit … stale? 

After a career trading student loans at Deutsche Bank, I had arrived at a pivotal moment in my life. I was shopping for my own loan, which…

Source: Marketplace Lending and the Three Bears: A FinTech Tale – Wharton FinTech – Medium

 

Here’s Why This Top VC Says Amazon Is Set to Rule the Fintech Game – F3News

Game. Over.

FAANG is the new acronym, soon also the new currency.

Facebook, Apple, Amazon, Netflix (maybe a stretch), Google.

Using payment systems as a loss leader to move the customer base to the core product. As someone else earlier today said (in the wealth advisory field): “…when some of these companies are offering the service at less than a quarter of the COST (not revenue mind you) of the incumbent … you know you’re out of business…”

Yup – sad, but true. Better get ready. Too bad I can’t yet afford New Zealand residency.

If any technology company makes a major move into payments and banking, the most obvious candidates are Apple (aapl) and Google (goog) . After all, both have a lot of experience thanks to the Apple Pay and Google Wallet functions, and both have alrea……more on F3News

Source: Here’s Why This Top VC Says Amazon Is Set to Rule the Fintech Game – F3News