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Fintech IPOs Are Back

November 18, 2020
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Fintech IPOs are back. Affirm, a fintech company whose platform offers “a point-of-sale payment solution for consumers, merchant commerce solutions, and a consumer-focused app,” is the latest company to file for an IPO.

Affirm’s S-1 was filed earlier today, revealing that they intend to raise $100 million. The company generated $509M in net revenue during its fiscal year ending June 30 and a net loss of $112 million.

Fintech Date Filed Date Public Amount Raised
Affirm 11/18/20
Upstart 11/6/20
Lufax 10/8/20 10/30/20 $2.36B
Ant Group 8/25/20 Delayed



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Unrelated to fintech, but still “tech” are pending IPOs for DoorDash and Airbnb.

Marketplace Lending Association Members Take Steps To Help Borrowers During The Coronavirus Crisis

March 17, 2020
Article by:

Marketplace Lending AssociationMembers of the Marketplace Lending Association are taking steps to alleviate financial pressure facing borrowers during the recent crisis.

“This includes providing impacted borrowers with forbearance, loan extensions, and other repayment flexibility that is typically provided to borrowers impacted by natural disasters. During the time of payment forbearance, marketplace lenders are also electing not to report borrowers as ‘late on payment’ to the credit bureaus,” a letter to senior members of Congress signed by Exec Director Nathaniel Hoopes states. “Members are also waiving any late fees for borrowers in forbearance due to the COVID-19 pandemic, posting helplines on company homepages, and communicating options via company servicing portals.”

Full letter here

Members of the MLA include:

  • Affirm
  • Avant
  • Funding Circle
  • LendingClub
  • Marlette Funding
  • Prosper
  • SoFi
  • Upstart
  • College Ave Student Loans
  • Commonbond
  • LendingPoint
  • PeerStreet
  • Yieldstreet
  • Arcadia Funds, LLC
  • Citadel SPV
  • Colchis Capital
  • Community Investment Management
  • cross river
  • dv01
  • eOriginal
  • Equifax
  • experian
  • Fintech Credit Innovations Inc.
  • FutureFuel
  • Laurel road
  • LendIt
  • pwc
  • Scratch
  • SouthEast bank
  • TransUnion
  • tuition.io
  • VantageScore
  • Victory Park Capital
  • WebBank

Are The Bankers Taking Over Fintech?

June 27, 2019
Article by:

bankers in fintech

This story appeared in AltFinanceDaily’s May/June 2019 magazine issue. To receive copies in print, SUBSCRIBE FREE

For Rochelle Gorey, the chief executive and co-founder of SpringFour, a “social impact” fintech company, mingling with industry movers and shakers at this year’s LendIt Fintech Conference was just what the doctor ordered. “I went mainly for the networking opportunities,” Gorey told AltFinanceDaily.

SpringFour, which is headquartered in Chicago, works with banks and financial institutions in the 50 states to get distressed borrowers back on track with their debt payments. It does this by digitally linking debtors with governmental and nonprofit agencies that promote “financial wellness.

The indebted parties—more than a million of whom had referrals that were arranged by Gorey’s tech-savvy company last year—constitute not only household consumers but also commercial borrowers. “Small businesses face the same issues of cash flow as consumers, and their business and personal income are often combined,” she says. “If their financial situation is precarious, it’s super-hard to get credit, a line of credit, or a business loan.”

fintechAlthough Gorey felt “overwhelmed” at first by the throng of 4,000 conference-goers at Moscone Center West in San Francisco—roughly the same number as attended last year, conference organizers assert— her trepidation was short-lived. It wasn’t too long before she was in circulation and having chance encounters and serendipitous interactions, she says, with “all the right people at the workshops and at the tables in the Expo Hall.”

Armed, moreover, with a “networking app” on her mobile phone, Gorey was able to arrange targeted meetings, scoring roughly a dozen, 15-minute tete-a-tetes during the two-day breakout sessions. These included audiences with community bankers, financial technology companies, and “small-dollar” lenders. “And it went both ways,” she says. “I had people reaching out to me”—just about everyone, it seemed, appeared receptive to “finding ways to boost their customers’ financial health.”

Gorey’s success at networking was precisely the experience that the event’s planners had envisioned, says Peter Renton, chairman and co-founder of the LendIt Fintech Conference. Organizers took pains to make schmoozing one of the key features of this year’s gathering. Not only did LendIt provide attendees with a bespoke networking app, but planners scheduled extra time for meet-ups. “We had around 10,000 meetings set up by the app,” Renton says, “about double the number of last year.”

AltFinanceDaily did not attend the LendIt USA conference on the West Coast this year. But the publication sought out more than a half-dozen attendees—including several financial technology executives, a leading venture capitalist, a regulatory law expert, and the conference’s top administrators—to gather their impressions. While informal and manifestly unscientific, their responses nonetheless yielded up several salient themes.

The popularity—and effectiveness—of networking was a key takeaway. Most seized the opportunity to rub elbows with influential industry players, learn about the hottest startups, compare notes, and catch up on the state of the industry. Most importantly, the event presented a golden opportunity to make the introductions and connections that could generate dealmaking.

“MY GOAL THIS YEAR WAS TO STRIKE MORE PARTNERSHIPS WITH LENDERS AND FINTECH COMPANIES”

“My goal this year was to strike more partnerships with lenders and fintech companies,” says Levi King, chief executive and co-founder at Utah-based Nav, an online, credit-data aggregator and financial matchmaker for small businesses. “We had great meetings with Fiserv, Amazon, Clover Network (a division of First Data), and MasterCard,” he reports, rattling off the names of prominent financial services companies and fintech platforms.

James Garvey, co-founder and chief executive at Self Lender, an Austin-based fintech that builds creditworthiness for “thin file” consumers who have little or no credit history, said his goal at the conference was both to serve on a panel and “meet as many people as I could.”

Self Lender is in its growth stage following a $10 million, series B round of financing in late 2018 from Altos Ventures and Silverton Partners. Garvey reports having meetings with Bank of America and venture capitalist FTV Capital “over coffee” as well as F-Prime Capital, another venture capitalist. “It’s just about building a relationship,” he said of making connections, “so that at some point, if I’m raising money or want to partner, I can make a deal.”

There was a concerted effort to recognize women, as evidenced by a packed “Women in Fintech” (WIF) luncheon that drew roughly 250 persons, 95% of whom were women. (“Many men are big supporters of women in fintech and we didn’t want to exclude them,” Renton says). The luncheon was preceded by a novel event—a 30-minute, ladies-only “speed-networking” session—which attracted 160 participants, reports Joy Schwartz, president of LendIt Fintech and manager of the women’s programs.

At the luncheon, SpringFour’s Gorey says, “it was empowering just to see lot of women who are senior leaders working in financial services, banks and fintechs.” The keynote speech by Valerie Kay, chief capital officer at Lending Club, was another highlight. “She (Kay) talked about taking risks and going to a fintech startup after 23 years at Morgan Stanley,” Gorey reports, adding: “It was inspiring.”

The women’s luncheon also marked the launch of LendIt’s Women In Fintech mentor program, and presentation of a “Fintech Woman of the Year” award. The recipient was Luvleen Sidhu, president, co-founder and chief strategy officer at BankMobile, a digital division of Customers Bank, based near Philadelphia, which employs 250 persons and boasts two million checking account customers.


BankMobile, which also won LendIt’s “Most Innovative Bank” award, has an alliance with Upstart to do consumer lending and a partnership with telecommunications company T-Mobile. Known as T-Mobile Money, the latter service provides T-Mobile customers with access to checking accounts with no minimum balance, no monthly or overdraft fees, and access to 55,000 automated teller machines, also with no fees. (At its website, T-Mobile Money describes itself as a bank and uses the slogan: “Not another bank, a better one.”)

The impressive salute to women notwithstanding, their ranks remained fairly thin: just 733 attendees identified themselves as “female” on their registration forms, LendIt’s Schwartz says, a little more than 18% of total participants. Seventy-five of the 350 total speakers and panelists—or 21%—were female. (Schwartz also reports that another 157 registrants selected “prefer not to say” as their sexual orientation, while 22 checked the box describing themselves as “non-conforming.”)

In LendIt’s defense, AltFinanceDaily, who caters to a similar audience, regularly reviews its readership demographics using several tools. They have consistently indicated that women make up 18% – 23% of the total, in line with what LendIt experienced at its most recent event.

By all accounts, many panels were informative, jampacked and attendees were engaged. King, who moderated a panel on regulatory changes in small business lending, which dealt with such topics as California’s commercial “truth-in-lending” law and controversial “confessions of judgment” laws, says: “They didn’t have to lock the door but the room was pretty full and people seemed to be paying attention. I didn’t see people studying their cellphones.”

The Expo Hall was teeming with budding fintech entrepreneurs, financial services companies and multiple vendors hawking their wares. But as numerous fintechs were angling to forge lucrative symbiotic relationships with banks, some participants—even those who were hailing the conference for its networking and deal-making opportunities—lamented the heavy presence of the establishment.

The banks’ ubiquitousness especially vexed Matthew Burton, a partner at QED Investors, an Arlington, (Va.)-based, venture capital firm and a veteran fintech entrepreneur. Before signing on with QED last year, Burton had been the co-founder of Orchard Platform, an online technology and analytics vendor for fintech and financial services companies which was purchased by fintech lender Kabbage.

Not only did bankers seem to playing a more prominent role at the LendIt conference, Burton notes, but “big four” accounting firm Deloitte had signed on as a major sponsor. “The energy level seemed a bit lower than in past years,” Burton told AltFinanceDaily. “It’s not like people were depressed but it wasn’t bubbling with excitement. A couple of years ago we thought all these new fintechs would replace the banks,” he explains. “Now the discussion is over how to partner and collaborate with banks. It’s not as exciting as when everyone thought banks were dinosaurs.

“I COULDN’T REALLY TELL IF THERE WERE MORE BANKERS ATTENDING THIS YEAR, BUT IT SURE FELT LIKE IT”

“I couldn’t really tell if there were more bankers attending this year,” Burton adds, “but it sure felt like it.”

King, the Nav executive, told AltFinanceDaily: “It was a little bit subdued. I don’t know if it was nervousness about the economy or politics, but the subject of risk came up more often in side conversations with venture-backed businesses and banks and alternative fintech lenders. One large bank we deal with,” he adds, “told me it’s spending most of its time working on risk.”

Cornelius Hurley, a Boston University law professor and executive director of the Online Lending Policy Institute who participated in a standing-room-only session on state and federal fintech regulation, declares: “I’ve been to three of their conferences, including one in New York, and I would say that this one did not have as much pizzazz. It may be that the industry is maturing.”

For his part—when asked whether there was a palpable absence of passion this year—LendIt’s Renton told AltFinanceDaily: “I would say that it felt more businesslike. Fintech has had a lot of hype and we have had conferences that were ridiculously over-hyped in 2015 and 2016. And in 2017 (the mood) was much more somber. This one felt optimistic and businesslike.”

THERE WERE 750 BANKERS IN ATTENDANCE

There were 750 bankers in attendance, almost one in five participants. “The number of bankers was not up significantly” over last year, Renton says, “but the seniority of the bankers was higher. We worked very hard to get senior bankers to attend this year.”

Renton was bullish on the closer ties developing between nonbank online lenders and banks. That was reflected as well in the several panels exploring ways to develop partnerships between the two sides. He noted that a session called “How Banks are Matching Fintechs on Speed of Funding and User Experience” drew a heavy crowd. “It brought more bankers than we’ve ever had before,” Renton says.

Moderated by Brock Blake, founder and chief executive at the fintech Lendio, the panel was composed of three bankers: Ben Oltman, the Philadelphia-area head of digital lending and partnerships at Citizens Bank; Gina Taylor Cotter, a senior vice-president at American Express (the highest-ranking woman at the company); and Thomas Ferro, a senior marketing manager at Bank of America. “The banks came to LendIt not just to learn but to decide whom they’re going to partner with,” Renton says. “Fintechs need banks and banks need fintechs. That is the narrative you hear on both sides.”

“FINTECHS NEED BANKS AND BANKS NEED FINTECHS”

(Asked whether any banks sponsored this year’s conference, Renton replied: “They are not sponsoring yet in any number but we are working on that.”)

OnDeck, a top-tier fintech lender to small-businesses in the U.S., which has been making forays abroad to Australian and Canadian markets, is an enthusiastic champion of the fintech-bank union. So much so that it claimed LendIt’s “Most Promising Partnership” award for the cooperative relationship it struck with Pittsburgh-based PNC Bank, which uses OnDeck’s platform to make small business loans. (Among the partnerships that OnDeck-PNC beat out: Gorey’s SpringFour, which was named a finalist in the competition for its association with BMO Harris Bank.)

“We were the first fintech lender to strike a true platform relationship with a bank,” Jim Larkin, head of corporate communications at OnDeck says, noting that the PNC deal follows on the New York-based fintech’s similar, innovative arrangement with J.P. Morgan Chase. “Others may do referrals,” he explains. “What we do is actually provide the underlying platform to accelerate a bank’s online lending capabilities. We deliver the software and expertise to construct the right type of online lending engine.”

Meanwhile, there was avid interest about the stock performance of publicly traded fintechs—for example, Square and GreenSky—both of which had seen their share prices tumble and then recover.

Burton noted that, among venture-backed firms, the most excitement seemed to be coming from Latin America. “Everyone was very bullish on a Mexican company, Credijusto, an alternative small business lender that was written up the in the Wall Street Journal,” he says. “It’s not going public yet but it had a large debt-and-equity raise of $100 million from Goldman Sachs. And SoftBank Group announced a $5 billion Latin American tech fund.

“There was a lot of talk,” he adds, “about how money was flowing into Mexico and Brazil.”

Online Loans You Can Take To The Bank

April 16, 2019
Article by:

This story appeared in AltFinanceDaily’s Mar/Apr 2019 magazine issue. To receive copies in print, SUBSCRIBE FREE

dollar eye

OnDeck, the reigning king of small business lending among U.S. financial technology companies, is sharpening its business strategies. Among its new initiatives: the company is launching an equipment-finance product this year, targeting loans of $5,000 to $100,000 with two-to-five year maturities secured by “essential-use equipment.”

In touting the program to Wall Street analysts in February, OnDeck’s chief executive, Noah Breslow, declared that the $35 billion, equipment-finance market is “cumbersome” and he pronounced the sector “ripe for disruption.”

While those performance expectations may prove true – the first results of OnDeck’s product launch won’t be seen until 2020 – Breslow’s message seemed to conflict with OnDeck’s image as a public company. Rather than casting itself as a disruptor these days, OnDeck emphasizes the ways that its business is melding with mainstream commerce and finance.

OnDeckConsider that the New York-based company, which saw its year-over-year revenues rise 14% to $398.4 million in 2018, is collaborating with Visa and Ingo Money to launch an “Instant Funding” line-of-credit that funnels cash “in seconds” to business customers via their debit cards. With the acquisition of Evolocity Financial Group, it is also expanding its commercial lending business in Canada, a move that follows its foray into Australia where, the company reports, loan-origination grew by 80% in 2018.

Perhaps most significant was the 2018 deal that OnDeck inked with PNC Bank, the sixth-largest financial institution in the U.S. with $370.5 billion in assets. Under the agreement, the Pittsburgh-based bank will utilize OnDeck’s digital platform for its small business lending programs. Coming on top of a similar arrangement with megabank J.P. Morgan Chase, the country’s largest with $2.2 trillion in assets, the PNC deal “suggests a further validation of OnDeck’s underlying technology and innovation,” asserts Wall Street analyst Eric Wasserstrom, who follows specialty finance for investment bank UBS.

“IT CAN’T EARN ANY MONEY MAKING LOANS OF $15,000 OR $20,000 EVEN IF IT CHARGED 1,000 PERCENT INTEREST”

“It also reflects the fact that doing a partnership is a better business model for the big banks than building out their own platforms,” he says. “Both banks (PNC and J.P. Morgan) have chosen the middle ground: instead of building out their own technology or buying a fintech company, they’ll rent.

jpmorgan building“J.P. Morgan has a loan portfolio of $1 trillion,” Wasserstrom explains. “It can’t earn any money making loans of $15,000 or $20,000. Even if it charged 1,000 percent interest for those loans,” he went on, “do you know how much that will influence their balance sheet? How many dollars do think they are going to earn? A giant zero!”

Similarly, Wasserstrom says, spending the tens of millions of dollars required to develop the state-of-the art technology and expertise that would enable a behemoth like J.P. Morgan or a super-regional like PNC to match a fintech’s capability “would still not be a big needle-mover. You’d never earn that money back. But by partnering with a fintech like OnDeck,” he adds, “banks like J.P Morgan and PNC get incremental dollars they wouldn’t otherwise have.”

The alliance between OnDeck and old-line financial institutions is one more sign, if one more sign were needed, that commercial fintech lenders are increasingly blending into the established financial ecosystem.

Not so long ago companies like OnDeck, Kabbage, PayPal, Square, Fundation, Lending Club, and Credibly were viewed by traditional commercial banks and Wall Street as upstart arrivistes. Some may still bear the reputation as disruptors as they continue using their technological prowess to carve out niche funding areas that banks often neglect or disdain.

Yet many fintechs are forming alliances with the same financial institutions they once challenged, helping revitalize them with new product offerings. Other financial technology companies have bulked up in size and are becoming indistinguishable from any major corporation.

Big Fintechs are securitizing their loans with global investment banks, accessing capital from mainline financial institutions like J.P. Morgan, Goldman Sachs and Wells Fargo, and finding additional ways — including becoming publicly listed on the stock exchanges – to tap into the equity and debt markets.

kabbageOne example of the maturation process: through mid-2018, Atlanta-based Kabbage has securitized $1.5 billion in two bond issuances, 30% of its $5 billion in small business loan originations since 2008.

In addition, fintechs have been raising their industry’s profile with legislators and regulators in both state and federal government, as well as with customers and the public through such trade associations as the Internet Lending Platform Association and the U.S. Chamber of Commerce. Both individually and through the trade groups, these companies are building goodwill by supporting truth-in-lending laws in California and elsewhere, promoting best practices and codes of conduct, and engaging in corporate philanthropy.

Rather than challenging the established order, S&P Global Market Intelligence recently noted in a 2018 report, this cohort of Big Fintech is increasingly burrowing into it. This can especially be seen in the alliances between fintech commercial lenders and banks.

“Bank channel lenders arguably have the best of both worlds,” Nimayi Dixit, a research analyst at S&P Global Market Intelligence wrote approvingly in a 2018 report. “They can export credit risk to bank partners while avoiding the liquidity risks of most marketplace lending platforms. Instead of disrupting banks, bank channel lenders help (existing banks) compete with other digital lenders by providing a similar customer experience.”

It’s a trend that will only accelerate. “We expect more digital lenders to incorporate this funding model into their businesses via white-label or branded services to banking institutions,” the S&P report adds.

Forming partnerships with banks and diversifying into new product areas is not a luxury but a necessity for Fundation, says Sam Graziano, chief executive at the Reston (Va.)-based platform. “You can’t be a one-trick pony,” he says, promising more product launches this year.

Fundation has been steadily making a name for itself by collaborating with independent and regional banks that utilize its platform to make small business loans under $150,000. In January, the company announced formation of a partnership with Bank of California in which the West Coast bank will use Fundation’s platform to offer a digital line of credit for small businesses on its website.

provident bankFundation lists as many as 20 banks as partners, including most prominently a pair of tech-savvy financial institutions — Citizens Bank in Providence, R.I. and Provident Bank in Iselin, N.J. — which have been featured in the trade press for their enthusiastic embrace of Fundation.

John Kamin, executive vice president at $9.8 billion Provident reports that the bank’s “competency” is making commercial loans in the “millions of dollars” and that it had generally shunned making loans as meager as $150,000, never mind smaller ones. But using Fundation’s platform, which automates and streamlines the loan-approval process, the bank can lend cheaply and quickly to entrepreneurs. “We’re able to do it in a matter of days, not weeks,” he marvels.

Not only can a prospective commercial borrower upload tax returns, bank statements and other paperwork, Kamin says, “but with the advanced technology that’s built in, customers can provide a link to their bank account and we can look at cash flows and do other innovative things so you don’t have to wait around for the mail.”

Provident reserves the right to be selective about which loans it wants to maintain on its books. “We can take the cream of the crop” and leave the remainder with Fundation, the banker explains. “We have the ability to turn that dial.”

“AFTER WE GET A SMALL BUSINESS TO TAKE OUT A LOAN, WE HOPE THAT WE CAN GET DEPOSITS OR EVEN PERSONAL ACCOUNTS”

The partnership offers additional side benefits. “A lot of folks who have signed up (for loans) are non-customers and now we have the ability to market to them,” he says. “After we get a small business to take out a loan, we hope that we can get deposits and even personal accounts. It gives us someone else to market to.”

As a digital lender, Provident can now contend mano a mano with another well-known competitor: J.P. Morgan Chase. “This is the perfect model for us,” says Kamin, “it gives us scale. You can’t build a program like this from scratch. Now we can compete with the big guys. We can compete with J.P. Morgan.”

For Fundation, which booked a half-billion dollars in small business loans last year, doing business with heavily regulated banks puts its stamp on the company. It means, for example, that Fundation must take pains to conform to the industry’s rigid norms governing compliance and information security. But that also builds trust and can result in client referrals for loans that don’t fit a bank’s profile. “For a bank to outsource operations to us,” Graziano says, “we have to operate like a bank.”

Bankrolled with a $100 million line of credit from Goldman Sachs, Fundation’s interest rate charges are not as steep as many competitors’. “The average cost of our loans is in the mid-to-high teens and that’s one reason why banks are willing to work with us,” Graziano says. “Our loans,” he adds, “are attractively structured with low fees and coupon rates that are not too dramatically different from where banks are. We also don’t take as much risk as many in the (alternative funding) industry.”

Despite its establishment ties, Graziano says, Fundation will not become a public company anytime soon. “Going public is not in our near-term plans,” he told AltFinanceDaily. Doing business as a public company “provides liquidity to shareholders and the ability to use stock as an acquisition tool and for employees’ compensation,” he concedes. “But you’re subject to the relentlessly short-term focus of the market and you’re in the public eye, which can hurt long-term value creation.”

Graziano reports, however, that Fundation will be securitizing portions of its loan portfolio by yearend 2020.

paypal buildingPayPal Working Capital, a division of PayPal Holdings based in San Jose, and Square Inc. of San Francisco, are two Big Fintechs that branched into commercial lending from the payments side of fintech. PayPal began making small business loans in 2013 while Square got into the game in 2014. In just the last half-decade, both companies have leveraged their technological expertise, massive data collections, data-mining skills, and catbird-seat positions in the marketplace to burst on the scene as powerhouse small business lenders.

With somewhat similar business models, the pair have also surfaced as head-to-head competitors, their stock prices and rivalry drawing regular commentary from investors, analysts and journalists. Both have direct access to millions of potential customers. Both have the ability to use “machine learning” to reckon the creditworthiness of business borrowers. Both use algorithms to decide the size and terms of a loan.

Loan approval — or denials — are largely based on a customer’s sales and payments history. Money can appear, sometimes almost magically in minutes, in a borrower’s bank account, debit card or e-wallet. PayPal and Square Capital also deduct repayments directly from a borrower’s credit or debit card sales in “financing structures similar to merchant cash advances,” notes S&P.

At its website, here is how PayPal explains its loan-making process. “The lender reviews your PayPal account history to determine your loan amount. If approved, your maximum loan amount can be up to 35% of the sales your business processed through PayPal in the past 12 months, and no more than $125,000 for your first two loans. After you’ve completed your first two loans, the maximum loan amount increases to $200,000.”

PayPal, which reports having 267 million global accounts, was adroitly positioned when it commenced making small business loans in 2013. But what has really given the Big Fintech a boost, notes Levi King, chief executive and co-founder at Utah-based Nav — an online, credit-data aggregator and financial matchmaker for small businesses – was PayPal’s 2017 acquisition of Swift Financial. The deal not only added 20,000 new business borrowers to its 120,000, reported TechCrunch, but provided PayPal with more sophisticated tools to evaluate borrowers and refine the size and terms of its loans.

“PayPal had already been incredibly successful using transactional data obtained through PayPal accounts,” King told AltFinanceDaily, “but they were limited by not having a broad view of risk.” It was upon the acquisition of Swift, however, that PayPal gained access to a “bigger financial envelope including personal credit, business credit, and checking account information,” King says, adding: “The additional data makes it way easier for PayPal to assess risk and offer not just bigger loans, but multiple types of loans with various payback terms.”

While PayPal used the Swift acquisition to spur growth and build market share, its rival Square — which is best known for its point-of-sale terminals, its smartphone “Cash App,” and its Square Card — has employed a different strategy.

SQUARE BARGED INTO SMALL BUSINESS LENDING WITH THE SUBTLETY
OF A FREIGHT TRAIN

By selling off loans to third-party institutional investors, who snap them up on what Square calls a “forward-flow basis,” the Big Fintech barged into small business lending with the subtlety of a freight train. In just four years, Square originated 650,000 loans worth $4.0 billion, a stunning rise from the modest base of $13.6 million in 2014.

Outside the Square Headquarters in San FranciscoSquare’s third-party funding model, moreover, demonstrates the benefits afforded from being deeply immersed in the financial ecosystem. Off-loading the loans “significantly increases the speed with which we can scale services and allows us to mitigate our balance sheet and liquidity risk,” the company reported in its most recent 10K filing.

Square does not publicly disclose the entire roster of its third-party investors. But Kim Sampson, a media relations manager at Square, told AltFinanceDaily that the Canada Pension Plan Investment Board — “a global investment manager with more than CA$300 billion in assets under management and a focus on sustained, long term returns” – is one important loan-purchaser.

Square also offers loans on its “partnership platform” to businesses for whom it does not process payments. And late last year the company introduced an updated version of an old-fashioned department store loan. Known as “Square Installments,” the program allows a merchant to offer customers a monthly payment plan for big-ticket purchases costing between $250 and $10,000.

Which model is superior? PayPal’s — which retains small business loans on its balance sheet — or Square’s third-party investor program? “The short answer,” says UBS analyst Wasserstrom, “is that PayPal retains small business loans on its balance sheet, and therefore benefits from the interest income, but takes the associated credit and funding risk.”

Meanwhile, as PayPal and Square stake out territory in the marketplace, their rivalry poses a formidable challenge to other competitors.

Both are well capitalized and risk-averse. PayPal, which reported $4.23 billion in revenues in 2018, a 13% increase over the previous year, reports sitting on $3.8 billion in retained earnings. Square, whose 2018 revenues were up 51 percent to $3.3 billion, reported that — despite losses — it held cash and liquid investments of $1.638 billion at the end of December.

King, the Nav executive, observes that Able, Dealstruck, and Bond Street – three once-promising and innovative fintechs that focused on small business lending – were derailed when they could not overcome the double-whammy of high acquisition costs and pricey capital.

“None of them were able to scale up fast enough in the marketplace,” notes King. “The process of institutionalization is pushing out smaller players.”

Is Your Firm Ready for Machine Learning?

October 15, 2018
Article by:

This story appeared in AltFinanceDaily’s Sept/Oct 2018 magazine issue. To receive copies in print, SUBSCRIBE FREE

Artificial intelligence such as machine learning has the potential to dramatically shift the alternative lending and funding landscape. But humans still have a lot to learn about this budding field.

Paul Gu Upstart
Paul Gu, co-founder, Upstart

Across the industry, firms are at different points in terms of machine learning adoption. Some firms have begun to implement machine learning within underwriting in an attempt to curb fraud, get more complex insights into risk, make sounder funding decisions and achieve lower loss rates. Others are still in the R&D and planning stage, quietly laying the groundwork for future implementation across multiple areas of their business, including fraud prevention, underwriting, lead generation and collections.

“It’s entirely critical to the success of our business,” says Paul Gu, co-founder and head of product at Upstart, a consumer lending platform that uses machine learning extensively in its operations. “Done right, it completely changes the possibilities in terms of how accurate underwriting and verification are,” he says.

While there’s no absolute right way to implement machine learning within a lender’s or funder’s business, there are many data-related, regulatory and business-specific factors to consider. Because things can go very wrong from a business or regulatory perspective—or both—if machine learning is not implemented properly, firms need to be especially careful. Here are a few pointers that can help lead to a successful machine learning implementation:

Tip No. 1: Consider the possibilities AI can offer for your specific business


Eden Amirav
Eden Amirav, CEO, Lending Express

Using machine learning, funders can predict better the likelihood of default versus a rule-based model that looks at factors such as the size of the business, the size of the loan and how old the business is, for example, says Eden Amirav, co-founder and chief executive of Lending Express, a firm that relies heavily on AI to match borrowers and funders.

Machine learning takes hundreds and hundreds of parameters into account which you would never look at with a rule-based model and searches for connections. “You can find much more complex insights using these multiple data points. It’s not something a person can do,” Amirav says.

He contends that machine learning will optimize the number of small businesses that will have access to funding because it allows funders to be more precise in their risk analyses. This will open doors for some merchants who were previously turned down based on less precise models, he predicts. To help in this effort, Lending Express recently launched a new dashboard that uses AI-driven technology to help convert business loan candidates that have been previously turned down into viable applicants. The new LendingScore™ algorithm gives businesses detailed information about how they can improve different funding factors to help them unlock new funding opportunities, Amirav says.

Lenders and funders always have to be thinking about what’s next when it comes to artificial intelligence, even if they aren’t quite ready to implement it. While using machine learning for underwriting is currently the primary focus for many firms, there are many other possible use cases for the alternative lenders and funders, according to industry participants.

Lead generation and renewals are two areas that are ripe for machine learning technology, according to Paul Sitruk, chief risk officer and chief technology officer at 6th Avenue Capital, a small business funder. He predicts that it is only a matter of time before firms are using machine learning in these areas and others. “It can be applied to several areas within our existing processes,” he says.

Collection is another area where machine learning could make the process more efficient for firms. Machines can work out, based on real-life patterns, which types of customers might benefit from call reminders and which will be a waste of time for lenders, says Sandeep Bhandari, chief strategy and chief risk officer at Affirm, which uses advanced analytics to make credit decisions.

“There are different business problems that can be solved through machine learning. Lenders sometimes get too fixated on just the approve/decline problem,” he says.

Tip No. 2: Quality data matters


Taariq Aquila
Taariq Lewis, CEO, Aquila

“Most underwriters don’t have enough data to effectively incorporate AI, deep learning, or machine learning tools,” says Taariq Lewis, chief executive of Aquila, a small business funder. He notes that effective research comes from the use of very large datasets that won’t fit in an excel spreadsheet for testing various hypotheses.

Problems, however, can occur when there’s too much complexity in the models and the results become too hard to understand in actionable business terms. For example, firms may use models that analyze seasonal lender performance without understanding the input assumptions, like weather impact, on certain geographies. This may lead to final results that do not make sense or are unexpected, he says.

“There’s a lot of noise in the data. There are spurious correlations. They make meaningful conclusions hard to get and hard to use,” he says.

The more precise firms can be with the data, the more predictive a machine learning model can be, says Bhandari of Affirm. So, for example, instead of looking at credit utilization ratios generally, the model might be more predictive if it includes the utilization rate over recent months in conjunction with debt balance. It’s critical to include as targeted and complete data as possible. “That’s where some of our competitive advantages come in,” Bhandari says.

Underwriters also have to pay particularly close attention that overfitting doesn’t occur. This happens when machines can perfectly predict data in your data set, but they don’t necessarily reflect real world patterns, says Gu of Upstart.

Keeping close tabs on the computer-driven models over time is also important. The model isn’t going to perform the same all along because the competitive environment changes, as do consumer preferences and behaviors. “You have to monitor what’s going well and what’s not going well all the time,” Bhandari says.

Tip No. 3: Keep regulatory compliance top of mind


Certainly, as AI is integrated into financial services, state and federal regulators that oversee financial services are taking more of an interest. As such, firms dabbling with new technology have to be very careful that any models they are using don’t run afoul of federal Fair Lending Laws or state regulations.

“If you don’t address it early and you have a model that’s treating customers unfairly or differently, it could result in serious consequences,” says Tim Wieher, chief compliance officer and general counsel of CAN Capital, which is in the early stages of determining how to use AI within its business.

Artificial Intelligence“AI will be transformative for the financial services industry,” he predicts, but says that doing it right takes significant advance planning. For instance, Wieher says it’s very important for firms to involve legal and compliance teams early in the process to review potential models, understand how the technology will impact the lending or funding process and identify the challenges and mitigate the risk.

To be sure, regulation around AI is still a very gray area since the technology is so new and it’s constantly evolving. Banking regulators in particular have been looking closely at the issues pertaining to AI such as its possible applications, short-comings, challenges and supervision. Because the waters are so untested, there can be validity in asking for regulatory and compliance advice before moving ahead full steam, some industry watchers say.

Upstart, for example, which uses AI extensively to price credit and automate the borrowing process, wanted buy-in from the Consumer Financial Protection Bureau to help ease the concern of its backers as well as to satisfy its own concerns about the legality of its efforts. So the firm submitted a no-action request to CFPB. The CFPB responded by issuing a no-action letter to Upstart in September 2017, allowing the company to use its model. In return, Upstart shares certain information with the CFPB regarding the loan applications it receives, how it decides which loans to approve, and how it will mitigate risk to consumers, as well as information on how its model expands access to credit for traditionally underserved populations.

The No-Action Letter is in force for three years and Upstart can seek to renew it if it chooses.

Tip No. 4: Let humans rule the machines, not the other way around.


Ballard Spahr attorney Scott Pearson
Scott Pearson, Partner, Ballard Spahr LLP

Theoretically firms could have a computer underwriting model constantly updating itself without having a human oversee what the model is doing—but it’s a bad idea, industry participants say. “I believe there are companies doing that, and it’s a risky thing to do,” says Scott M. Pearson, a partner with the law firm Ballard Spahr LLP in Los Angeles.

During review of the models—and before implementing them—people should carefully review the models and the output to make sure there’s nothing that causes intrinsic bias, says Kathryn Petralia, co-founder and president of Kabbage, which is one of the front-runners in using machine learning models to understand and predict business performance.

“If you’re not watching the machine, you don’t know how the machine is complying with regulatory requirements,” she says.

Kabbage has teams of data scientists regularly developing models that the company then reviews internally before deploying. The company is also in frequent contact with regulators about its processes. Petralia says it’s very important that firms be able to explain to regulators how their models work. “Machines aren’t very good at explaining things,” she quips.

As a best practice, Pearson of Ballard Spahr says lenders and funders shouldn’t use any machine learning model until it’s been signed off on by compliance. “That strikes a pretty good balance between getting the benefits of AI and making sure it doesn’t create a compliance problem for you,” he says.

Tip No. 5: Respect AI’s limitations


While AI has many benefits, industry participants say alternative lenders and funders need to be mindful of how it can be applied practically and effectively within their particular business model.

Craig Focardi, senior analyst with consulting firm Celent in San Francisco, contends that the classic FICO score continues to be the gold standard for credit decisions in the U.S. He warns firms not to get overly distracted trying to find the next best thing.

“Many fintech lenders have immature risk management and operations functions. They’re better off improving those than dabbling in alternative scoring,” he says, noting that data modeling is an entirely separate core competency.

Indeed, Lewis of Aquila cautions underwriters not to view AI as a silver bullet. “AI is just one tool out of many in the lenders’ toolbox, and our industry should use it and respect its limitations,” he says.

This story appeared in AltFinanceDaily’s Jul/Aug 2018 magazine issue. To receive copies in print, SUBSCRIBE FREE

Tech Changes Lending And Payments The World Over

June 25, 2018
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This story appeared in AltFinanceDaily’s May/June 2018 magazine issue. To receive copies in print, SUBSCRIBE FREE

Taxis in ShanghaiOn a business trip to China last summer, Matt Burton had plenty of money in his wallet but it was practically useless.

Case in point: He had a lengthy standoff with a Shanghai taxi driver who insisted on a mobile-phone payment. “I spent 20 minutes arguing with the cabbie,” says Burton, one of the founding partners at Orchard Platform, a leading provider of technology and software to the alternative lending industry. “You’d think that — out of all of the professions — a taxi driver would accept cash.”

The New Yorker finally convinced the cab driver to take the payment in renminbi, China’s paper currency. The incident, meanwhile, is illustrative of how deeply and widely mobile payments have penetrated the huge Chinese market. “No one in China carries wallets anymore,” Burton reports. “Everyone pays with their smart-phones. Even the elderly women selling vegetables on the side of the road accept mobile payments,” he adds. “Cash has become a hassle.”

Welcome to China’s financial technology revolution. Almost overnight, China’s population graduated from calculating with the 16th-century abacus to showcasing what is arguably the world’s most sophisticated system of mobile payments. Thanks to financial technology, China is fast becoming a cashless economy. China is just one place outside the U.S. where financial technology is catching on in a big way. As Americans remain, for the most part, wedded to suburban drive-in banks, walk-up automated teller machines, and plastic credit and debit cards, the rest of the world is rapidly embracing digital solutions. And nowhere is that happening more dramatically than in China.

According to the most recent figures released by China’s Internet Network Information Center, the country had 724 million mobile phone users at the end of June 2017. China’s Ministry of Industry and Information Technology reports, moreover, that consumers paying for everything from food and clothing to utility bills to movie tickets and – you guessed it, cab fare — engaged in 239 billion mobile payment transactions in 2017, a surge of 146 percent over the previous year.

Mobile payments have become a $16 trillion industry in China, the ministry adds, accounting for about half of all such transactions in the world.

And there’s ample room to grow. The World Bank discloses that there are now 772 million Internet users in China, more than double the entire population of the U.S. Yet that leaves 50% of China’s population – mostly in the countryside and rural areas – who are not yet plugged in to the Internet.

aliTwo Chinese mobile-payment platforms dominate the industry. Ant Financial is the 800-pound-gorilla, its Alipay program boasting 520 million global users on its website. It’s an affiliate of publicly traded Alibaba Group Holding, an online merchandiser known as the “Amazon of China” which was founded by entrepreneur Jack Ma, reputedly the richest man in China.

Alipay not only has bragging rights to roughly 60 percent of China’s digital and online payments market but, in 2013, it overtook PayPal as the global leader in third-party payments. With deep roots in e-commerce, Alipay is the go-to payments option for online shoppers, who are steadily migrating from laptops to mobile devices.

WeChat Pay is the upstart in the duopolistic rivalry. Launched in 2013, nearly a decade later than its rival, it’s a unit of conglomerate Tencent Holdings, a social network and messaging platform often compared to Facebook. As WeChat continues to add subscribers, its Tenpay app has been growing accordingly, eroding Alipay’s market share as new users gravitate to the e-payments program. While WeChat records fewer payments than Alipay, Forbes magazine reports that it claims more users.

WeChatWhatever WeChat’s virtues, Ant Financial continues to chew up the scenery. It recently topped the charts as the world’s “most innovative” fintech in 2017, as reckoned by a research team formed by accounting giant KPMG and H2 Ventures. China scored a hat trick, moreover, as two additional homegrown fintechs — online property-and-casualty insurer ZhongAn and credit-provider Qudian Inc. — took second and third place, respectively, in KPMG/H2’s rankings. For good measure, China also claimed five of the top ten spots on the “most innovative” list, edging out the U.S., which had four.

Financial analysts recently surveyed by the Financial Times reckon Ant Financial’s market valuation at $150 billion, catapulting the company into the rarified status of not just a “unicorn,” but a “super-unicorn.” (Named after the rarely seen mythical one-horned horse, “unicorns” are start-ups valued at $1 billion). So robust is Ant Financial’s market valuation that the global investment community is salivating over its impending initial public offering.

(Ant’s progenitor, Alibaba, holds bragging rights as the largest IPO ever, according to the Financial Industry Regulatory Authority. It raised $21.8 billion in 2014; its NYSE-listed stock was trading at $194.36 in mid-May, essentially in the same league as Apple and Facebook, trading at $188.80 and 187.08, respectively, on Nasdaq.)

“Four of the largest fintech unicorns in the world are coming out of Asia,” notes Dorel Blitz, the Tel Aviv-based head of fintech at KPMG. “The companies are getting bigger and stronger,” he adds, “and you’re beginning to see more direct investment in public fintech companies as well.”

Adds Orchard’s Burton: “I think it shows you how massive the opportunities are outside the U.S.”

Ant Financial and WeChat are also serving as a world-class demonstration project on how fintechs can turn a tidy profit while opening up financial services to large populations who lack access to basic financial services, thereby providing entry to the middle class. The two platforms have provided “financial inclusion for tens of millions, if not hundreds of millions of people” who previously were on the periphery of the banking and financial system, says Kai Schmitz, a fintech lender at International Finance Corporation that lends to private businesses in the developing world.

Once people are making electronic payments on their mobile devices, Schmitz notes, it creates a “pathway” to a whole panoply of financial services, including personal and business loans, savings, insurance, and investments.

“You can create a user profile so that a large part of the population that could not be reached (by traditional financial institutions) are now making payments and can be followed on the data track,” he says.

The World Bank reports that two billion adults and 200 million businesses in the developing world are currently unable to access even basic financial services. Through IFC, the World Bank has invested $370 million in fintech companies operating throughout Asia, the Middle East, Africa and Latin America. The fintechs, an IFC communications manager told AltFinanceDaily, offer “a range of products and services — from e-wallets, virtual banks, lending, and online payments to retail payment points and exchanges.” IFC, she adds, also invests in fintech funds.

“THEY ARE LIVING IN AFRICA, BANGLADESH, CHINA AND ELSEWHERE ON LESS THAN TWO DOLLARS A DAY AND HAVE NO ACCESS TO FINANCIAL SERVICES”

Anju Patwardhan is the U.S.-based managing director at CreditEase Fintech Investment Fund, a $1 billion Chinese venture capital firm that invests in fintechs delivering financial services to “unbanked” and “underbanked” populations. “They are living in Africa, Bangladesh, China and elsewhere on less than two dollars a day and have no access to financial services,” she says.

“But there are also a very large number of people who may be technically included in the financial system but still don’t have access to a full range of financial services at reasonable prices,” she adds. “If someone is borrowing from a moneylender or pawnbroker, it doesn’t count (as financial inclusion). In that case, the number of people is very much more than two billion.”

Once phone towers are built and a payments infrastructure is in place, fintechs promising more sophisticated financial services can operate similarly to the settlers who followed pioneers in the U.S.’s westward expansion. That’s been the story in Kenya and other African countries where M-Pesa (“pesa” is Swahili for money) and other mobile-phone payments systems set up shop a decade ago.

Branch International, based in San Francisco but doing business exclusively in emerging and frontier markets for only three years, is one of the settlers. It boasts that it now has the “No. 1 finance app in Africa.” In March, Branch raised $70 million in a second-stage round of debt and equity financing from a group of venture capitalists led by Trinity Partners that included Patwardhan’s CreditEase and the IFC. Patwardhan will serve as an advisor to Branch’s board.

Father with daughter shopping online using credit cardBranch’s principal business is making loans and micro-loans ranging from as little as $2 to $1,000 in Nigeria, Kenya, and Tanzania. Despite its name, Branch touts itself as a “branchless bank”, all of the credit transactions taking place on mobile devices, says Matt Flannery, Branch’s chief executive and founder. Its average loan amount is $25.

Many of Branch’s customers are individuals and businesses who often had trouble obtaining credit from established financial institutions or were ineligible for loans. But, according to Branch’s website, it’s possible for a prospective borrower to obtain a loan in just a matter of minutes. “Branch eliminates the challenges of getting a loan by using the data on your phone to create a credit score,” the website says. Branch promises privacy, fees that are “fair and transparent,” and terms that “allow for easy repayment” with no “late fees or rollover fees”. “As you pay back on time,” the website also says, “our fees decrease, and you unlock larger loans with more flexible terms.”

The platform, CEO Flannery says, has lent out $100 million dollars to roughly that same number of people. “The formal financial system in African countries is generally composed of old-fashioned banks that are risk-averse and fairly slow to make lending decisions,” he says. “People really appreciate us,” Flannery adds. “I’d say we’re like Uber and they’re the horse-and-buggy.”

The company is growing by 20 percent month-over-month and expects to disburse more than $250 million in 2018. Asked to describe Branch’s typical borrower, Flannery says: “We have some rural users (of Branch’s finance app). But in general we’re serving the commercial middle-class — shopkeepers and entrepreneurs – in urban capitals.” Want to know precisely who Branch’s customers are? “Just go to downtown Lagos (the capital of Nigeria and the largest city on the African continent) and you’ll see all different kinds of businesses and single-owner merchants on street corners,” Flannery says.

Jeff Stewart, the founder and chairman of Lenddo (which recently merged with competitor EFL) asserts that his firm’s machine learning technology and risk modeling techniques, which are being deployed in emerging countries from Costa Rica to The Philippines, have the capacity to assess the “creditworthiness of everyone on the planet.” In the absence of credit history in much of the developing world, he explains, this can done by constructing a risk profile combining both “psychometrics” and a “digital footprint.”

Psychometrics is a behavioral assessment tool based on a prospective borrower’s “Big Five” personality traits: openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism (OCEAN for short). “What we’ve been able to show,” Stewart asserts, “is that certain personality types have a positive and negative correlation with repayment. It’s not 100 percent accurate. But you can predict the statistical recovery ratio on repayment. You can say that, for a person with a high score, something like 88 out of 1,000 people (with his or her profile) would not repay.”

The digital footprint, which is the second “critical component,” Stewart says, analyzes a prospective borrower’s reliability by reconnoitering their smartphone usage. “We’ll look at everything on your phone,” he says, “How you use the phone. Whom you interact with. When you use your phone. There are thousands of features that generate a digital footprint. Everything from meeting someone at a sports bar to the apps on your phone to things like e-mailed receipts that show your financial activity.”

Such methods help build credit for those lacking credit history while rehabilitating those whose credit history is blemished. And all that’s needed is a smartphone. “We’ve turned the smartphone into a credit bureau,” Stewart says.

The acquisition of smartphones is taking place at a blistering pace, Stewart notes, now that cell phone costs are “at the bottom of the cost pyramid” in many countries. For example, a “low-end Android” now fetches as little as $25 in Africa. “One credible study I’ve seen shows that every 10% percent rise in access to smartphones translates into a 1/2 percent rise in a country’s gross domestic product,” Stewart says.

While the private sector is driving the trend to financial inclusion in China and Africa, India’s government-driven model “is setting a new global standard in using financial technologies to support financial inclusion,” declares Patwardhan of CreditEase, who also lectures at Stanford. “The country has become a giant testing ground for financial inclusion and innovation,” she argues in a recent academic paper, “and may become a role model for other emerging economies.”

India’s state-run effort includes a $1.3 billion digital identity program known as Aadhaar. Under Aadhaar (which means “foundation”), the state issues residents a 12-digit identity number that’s based on their biometric data –such as fingerprints and iris scans — and personal information. The ID number covers more than 1.19 billion residents. In just the first two years after Aadhaar’s 2009 debut, Patwardhan says, more than 250 million Indians were able to open bank accounts.

“INDIA’S DIGITAL ID PROGRAM MEANS THAT WIVES AND DAUGHTERS HAVE IDENTITY NOW”

Jo Ann Barefoot, chief executive at Barefoot Innovation Group in Washington, D.C. and a senior fellow emerita at Harvard’s Kennedy School of Government, agrees. She notes that Aadhaar opened up access to both fintech services and bank accounts to women who were long treated as second-class citizens by the social and economic system. “India’s digital ID program means that wives and daughters have identity now,” she says.

“In the past,” she adds, “only (male) heads of households would have family identity documents and a government card — which would be the equivalent of having a Social Security number in the U.S. But the wife wouldn’t have her own card. So this is a massive door-opener to fintech growth. And it’s also opening up (all areas of) finance to millions and millions of people.”

India’s “digitalization” program, moreover, has entailed development of a national payments network called “unified payments interface,” or UPI. The combination of UPI and Aadhaar as well as other digital initiatives have resulted in “a surge of online lending platforms,” says Patwardhan, citing Capital Float, NeoGrowth, Faircent, LendingKart, Quiklo, IndiaLends, CreditExchange, and Onemi.

The homegrown fintechs, however, will be up against tremendous external pressure as India, with 1.3 billion people and poised to overtake China in population growth, is generating enormous interest from global fintechs. Among outside platforms piling into the country are China’s Ant Financial and WeChat. The former took a $1 billion stake in Paytm, an Indian mobile payments and e-commerce company. Similarly, competitor WeChat’s parent, Tencent, has invested in Hike, a mobile wallet valued at $1.4 billion last June, according to CNBC, exciting investor interest as a unicorn.

U.S. companies are getting into the act too. Google launched digital payments app Tez last September, which “is taking advantage of India’s infrastructure and has already gotten 30 million downloads,” Patwardhan says. In February, Facebook rolled out a peer-to-peer payments feature on WhatsApp. Even Branch’s Flannery has announced that his “branchless bank” plans to earmark part of its $70 million war chest to offer $2-to-$1000 loans on the subcontinent.

Having banned high-denomination paper bills as a way to rein in corruption and aiming at a cashless economy, India has been innovating in ways that “have gone the Chinese one better,” marvels Patwardhan. “Their payment systems going through the UPI network are interoperable,” she notes, for example. “You don’t have to be on the same app or with the same bank. India is now on the cutting edge.”

SoFi Personal Loan Performance Suffers

February 11, 2018
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SoFi sign
Above: A SoFi NYC subway ad hangs in February 2016. SoFi eventually ditched its ‘Don’t Bank’ slogan when it applied for a bank charter. It has since withdrawn that application

A story in the Wall Street Journal last week reported that SoFi borrowers are missing their loan payments at an unexpectedly high rate. The emerging trend is part of the reason the company is said to have missed its internal fourth quarter earnings projections. According to a letter SoFi penned to investors that the WSJ obtained, the company had to mark down the “value of certain personal loan assets due to lower-than-expected credit performance.”

$202.3 million of SoFi’s $9 billion in consumer loans since inception had gone into default as of November 30th, 2017, AltFinanceDaily learned through a report. Consumer loans had been made to a total of more than 266,000 individual borrowers.

A recent ratings agency chart shows the default rates of SoFi Managed Portfolio consumer loans have been increasing since 2015 and that defaults are starting to occur even earlier in the repayment cycle. The April 2015 vintage, for example, showed a default rate near 0.0% by the twelfth month. The April 2017 vintage, by contrast, had already exceeded a default rate of .5% in month eight.

Last March, Bloomberg reported that the company’s personal loan losses at that time were high enough to breach bond triggers that the loans were backed by.

The consumer loan space has become very crowded as of late, with SoFi not only competing against online upstarts like Lending Club and Prosper, but also against banking stalwarts like Goldman Sachs and Discover.

Fintech Was Back on Capitol Hill

February 1, 2018
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A House financial services subcommittee hearing this past Tuesday put fintech and online lending back in the spotlight. The most notable witness that testified was Nat Hoopes, Executive Director of the Marketplace Lending Association (MLA). The MLA represents companies like Lending Club, Prosper, Funding Circle, Avant, Marlette Funding, Affirm, CommonBond, Upstart, PeerStreet, and StreetShares.

Hoopes testified that “this industry is effectively serving the broad American ‘middle class’ that remains our engine for economic growth and prosperity.” He also cited data from dv01. “More than one million unsecured marketplace personal loans were issued last year – with an average loan balance of approximately $14,000 and a term of greater than 4 years – far from being a small dollar, short term loan,” he said. “[Marketplace Lending Platforms] offering consumer loans do so at an average of 14.7% APR and 100% of the loans are below the 36% APR threshold.”

Prof. Adam J. Levitin, a Georgetown University Law Professor, played the role of fintech skeptic and called for state and federal regulation to address what he believed were lingering issues.

“What is new about fintechs is that they are nonbank financial companies with ready ability to acquire consumers because of the Internet,” Levitin testified. “This means that despite the regular use of buzzwords like ‘transformative’ and ‘disruptive’ in discussions about fintechs, there really isn’t anything particularly transformative or disruptive about them.

You can watch a recording of the full hearing below:

Click the links to view the testimonies of the following witnesses