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Artificial intelligence (AI) and machine learning (ML) are ubiquitous in today’s workplace conversations. Turn on any business news channel and you’ll hear them repeated over and over. Ask any venture capitalist and they are sure to brag about several investments in these areas. Google artificial intelligence and machine learning, and you’ll find 213,000,000 hits, and […]
The post Digital Lending: How Artificial Intelligence, Machine Learning Are Making a Difference appeared first on Lending Times.
Artificial intelligence (AI) and machine learning (ML) are ubiquitous in today’s workplace conversations. Turn on any business news channel and you’ll hear them repeated over and over. Ask any venture capitalist and they are sure to brag about several investments in these areas. Google artificial intelligence and machine learning, and you’ll find 213,000,000 hits, and rising. Overhyped? We don’t think so.
Accenture boldly claimed that AI could boost average profitability rates by 38% and lead to an economic benefit of $14 trillion by 2035. That is no small statement. Even more astonishing is the general alignment among analysts on this issue. It’s widely agreed that AI and ML hold great promise across all industries, and, specifically, in finance.
In 2019, IDC projected that banking would be the second largest global industry to invest in AI, with $5.6 billion going toward AI-enabled solutions (trailing only retail). Why? The anticipated effect on business. According to the research firm, Autonomous, the financial industry’s slice of the global AI pie represents upwards of $1 trillion in projected cost savings.
Fintech disruptors, characterized as fast-moving companies, often start-ups, focus on a particular web-based innovative financial technology or process, spanning mobile payments to lending. Fintech disruptors initially found an entry point in finance through the use of AI/ML in underwriting.
In the U.S., if the customer consents, you can gain almost unlimited data about their credit profile: how many loans they have, whether they have a mortgage, if they’re delinquent, and whether they requested credit recently. According to the Brookings Institution, “AI coupled with ML and big data, allows for far larger types of data to be factored into a credit calculation. Examples range from social media profiles, to what type of computer you are using, to what you wear, and where you buy your clothes.” Access to this type of data gave rise to the development of sophisticated algorithms to underwrite consumer credit risk. We’ve seen this across a variety of lending companies offering unsecured consumer, student, or even small business loans, particularly focused on digital lending.
Importantly, though, those employing AI must be hyperaware of data collection practices, model design, and the potential for misuse. There is an inherent obligation when using these powerful tools to avoid profit at any cost. When used responsibly, AI can promote growth and better serve consumers. To meet this goal, companies must focus on creating ecosystems that are exponentially more just and equitable than what we have today.
On the surface, the digital lending numbers seem incredible. Digital lenders have grown to $50 billion in originations per year, not including incumbents. And, the research firm Autonomous notes that the digital lender model continues to raise $5 billion in annual venture capital investment, dominated by investments in the U.S.
And, yet, that same report shows that an AI/ML-driven digitization of the lending process is not headed to zero cost. To date, the cost advantages of onboarding and ongoing servicing (up to 70% reductions) have not been able to overcome the relatively high marketing costs that have yet to effectively scale lower than $250 per loan. Moreover, capital costs can reduce efficacy relative to traditional bank competition, and, then, there are the unplanned expenses, such as legal fees or elevated product development costs, the firm reports.
So, if digital lending driven by AI/ML-powered underwriting cannot deliver a material cost advantage, is further AI/ML advancement possible? And, will it improve outcomes for the consumer? Yes, absolutely. It all boils down to operations. As the use of AI shifts beyond obvious use cases and is deployed cross-functionally across entire companies to address various operational inefficiencies, the real promise emerges.
According to Deloitte, the top 30% of financial services firms who are frontrunners are more adept at integrating AI into the core strategic business of their firms, delivering revenue and cost gains quicker than competitors. In our opinion, this is clearly the case with fintech disruptors. Those that are focused on AI integration throughout the organization will quickly pull ahead of those who limit AI deployments to chatbots, underwriting, and other AI/ML 1.0 use cases.
Fintech disruptors can offer the market’s most cost-effective solutions by dramatically curtailing operation costs. Harnessing large-scale, multi-functional AI systems across organizations, instead of simply deploying in underwriting, presents fintech disruptors the opportunity to control costs at each stage and offer quality outcomes for their customers at reduced costs – with lean workforces.
So, while these systems may not face the end customer in any way – in fact, that may not be visible at all – they are the true future of AI/ML for fintech disruptors.
Fintech disruptor leaders who understand the opportunity to use an interconnected system of AI models across their organizations will likely drive the greatest overall efficiencies, both reducing costs and boosting revenues. This enhanced efficiency can be used to drive competitive position and ultimately higher profits.
AI can be used to help allocate resources across a variety of functions. For instance, a lender could create an AI model used to predict which of its retail partners would see the greatest increase in usage as a result of a field visit by a partner support representative. Generally, these visits don’t have uniform outcomes. Therefore, using a model-driven approach could help to allocate resources in the most effective manner. Increasing usage obviously drives overall revenue, but also helps to amortize cost over a greater number of transactions, driving better unit economics. Further, with time, the usefulness of such a system can grow. The more data collected from previous visits, the better the algorithm can be at predicting which visits will yield increasing usage.
Or, a lender could deploy AI in the call center to optimize the efficiency of the collections support team. Outbound reach to delinquent customers could be prioritized based on an ML algorithm that evaluates the potential for a successful call and the expected dollar collection. This may sound simple, but making the “good” calls and avoiding the “bad” ones offers all the obvious advantages of more precise resource allocation.
What is less obvious, though, is how these models are interconnected. The model used in the call center complements the underwriting model. If the collections team performs better, then the underwriting model can be recalibrated to maintain the overall risk of the loan portfolio. If the model prioritizing field visits is working, then it increases usage and reduces the average costs to originate a loan. This further enables a recalibration of both the underwriting model and the collections model. The combination of these models, ultimately, increases both expected and realized returns on the loan portfolio, reducing expenses and allowing the company to pass this savings back to customers in the form of lower rates. This is a win for everyone.
This is the true promise of AI/ML – a robust ecosystem of interdependent models utilized to enhance cross-functional outcomes. This leads to a much broader point: inefficiencies exist in all aspects of business – including accounting, legal, operations, finance and customer experience – and negatively impact profits.
Responsibly managed AI/ML 2.0 promises to address many of these functional silos with great success, improving outcomes for everyone involved.
Author:
Dr. Tamir Hazan is a co-founder and head of Analytics at Digital Lending: How Artificial Intelligence, Machine Learning Are Making a Difference appeared first on Lending Times.
But they can come up with excellent green-flavoured marketing strategies.
David Levy on what if we’re not investing too little, but too much in a “bubble or nothing” economy that doesn’t generate enough income?
Here’s what we’d like to buy from the consultancy’s modern retail collective.
News Comments Today’s main news: SoFi intros crypto trading. Investors locked out of LendingClub in 4 states. Funding Circle asks US regulators to folow UK’s model. Fundbox raises $176M. Klarna surpasses 12M transactions per year. Today’s main analysis: U.S. subprime auto loan ABS recession scenarios (A MUST-READ). Today’s thought-provoking articles: Recession talk cooling. Consumers with […]
The post Thursday September 26 2019, Weekly News Digest appeared first on Lending Times.
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SoFi announced today that it has added crypto trading to its fast-growing SoFi Invest platform, as a response to demand from its over 800,000 members. SoFi Invest is now the first platform to offer automated and active investing with stocks, ETFs, and crypto through a single app.
SoFi users can initially buy and sell three cryptocurrencies – bitcoin (BTC), ether (ETH) and litecoin (LTC). The Block first reported the story last week, saying that the firm is beta testing the service in partnership with Coinbase.
Sofi CEO Anthony Noto joins The First Trade to discuss what’s next for the company.
Litecoin is ranked at #6 underneath Tether, as well as Bitcoin Cash, in the market. The price jumped up at a rate of 0.60% in the course of the past 24-hours. This led to LTC scaling all the way up to $57.03 where it presently rests. The trading volume recorded stands at roughly $2.957 billion, whereas the supply has 63,337,479 LTC coins included as part of circulation. The total market cap of Litecoin amounts to $3.612 billion which depicts a massive decline compared to the value attained a week back.
SoFi CEO Anthony Noto discusses how his company’s consumers can now buy and sell Bitcoin, Ethereum and Litecoin.
Financial technology company SoFi is offering refunds to investors hit by capital gains taxes following the change of replacing Vanguard funds with their proprietary ETFs in certain portfolios managed by their robo-adviser.
Over the last 24 hours we’ve received several messages from Lend Academy readers alerting us that they have received information that they are no longer able to invest in LendingClub notes. There is is also an active discussion on the Lend Academy forum.
FUNDING Circle’s US division is urging the Securities and Exchange Commission (SEC) to amend its restrictions on peer-to-peer retail investment.
The US financial regulator limits annual investment to five per cent of an investor’s annual income if their yearly income or net worth is under $107,000 (£86,075), rising to 10 per cent if the investor earns more than that.
Over the past 14 years, I’ve coached more than 1,500 people who were searching for the best franchise for their situation. I recently read the 2019 Small Business Trends
Fintech Fundbox Inc. has raised $176 million in a new funding round from investors including Allianz SE and General Catalyst. The company planned to announce the funding along with a new $150 million credit facility.
A Fundbox spokesman said the new round valued the company at between $500 million and $1 billion, but would not disclose the exact valuation.
Summary Highlights
Read the full report here.
Lower rates, improved credit scores, and tighter housing inventory are improving the outlook for housing. Housing market achieved an 18-month high in housing starts and a record high in FICO scores.
The Citigroup Economic Surprise Index – a measure of actuals vs economist’s expectations – has also registered readings above the neutral baseline suggesting slowdown fears may be exaggerated.
Many lenders believe that consumers who turn to the alternative credit market for liquidity do so because they have no other options. However, a TransUnion study presented today at the Lend360 conference found that these borrowers are frequently applying for and receiving traditional credit at the same time. While traditional subprime installment lenders and alternative lenders are competing over the same consumers, the study finds that the liquidity need is often not fully met in either market.
Risk Levels Higher for Traditional and Alternative Loan Borrowers
Controlling for risk score, 8.5% of the alternative credit-active consumers had a serious delinquency in the first 12 months, vs. just over 2% for the control group. Bankcard performance was also worse. While these borrowers exhibited a preference for unsecured personal loans under $1,500 within 12 months of the alternative credit origination, they also originated auto and bankcard credit during that time.
Read the full report here.
Lendio today announced plans to double the sales force at its Lehi, Utah, and Woodbury, New York, offices. The company has hired 80 employees in 2019, and intends to add another 40 sales representatives by the end of the year, with plans to bring on another 40 in the first quarter of 2020. In addition to the expanding workforce, Lendio plans to bolster its selection of loan products for small businesses, with a 10% increase in the number of product offerings in the coming year.
Fintechs are continuing to siphon away customers for unsecured personal loans from traditional lenders, according to a study released Wednesday by Experian.
The study found that digital lenders more than doubled their market share in the past four years, with consumers across the credit spectrum increasingly turning to fintechs like Lending Club and Social Finance.
Fintechs now provide 49.4% of unsecured personal loans as of March compared to 22.4% in 2015, according to Experian.
Born out of the last recession, young fintech lenders have not yet been tested by a significant economic storm, and many in the industry are wrapped up in a dialogue of speculation about the industry’s ability to ride out an impending recession. It’s time to turn the conversation instead to focus on how fintech lenders can position themselves to play a critical role in recovery from the next downturn, whenever it may happen.
The two new guys running the slowly sinking ship known as once hot tech startup WeWork should give SoFi CEO Anthony Noto a holla on his Apple iPhone. Trust me, Noto has some good, timely advice for Artie Minson and Sebastian Gunningham.
Because the former Goldman Sachs banker and Twitter chief financial officer, now SoFi chief clearly gets how to rebuild a promising tech startup after a high-profile challenge or two. And then possibly, take it down the path of a successful initial public offering.
As high school students return to school, they may see the benefits of new state laws across the country that require curriculums to offer a class about personal finance. This is great news for young adults as 76% of recent high school graduates agree it should be required, according to a national survey by Experian.
Many Gen Z’ers surveyed say innovative tools are the way to go when it comes to learning about credit (45%) and almost half (48%) would prefer to use tech-driven tools versus textbooks to learn more.
Survey respondents also say they are currently learning about finances mostly through their friends (28%), YouTube (27%) and some form of social media (24%).
In the latest battle over the Office of the Comptroller of the Currency’s (OCC’s) plan to issue special purpose national bank (SPNB) charters, a D.C. federal judge has for a second time dismissed a lawsuit brought by the Conference of State Bank Supervisors (CSBS).
The decision creates the potential for circuit split, as a New York federal court reached the opposite conclusion in a nearly identical action filed by the state’s Department of Financial Services (DFS).
Another way to build your real estate empire is through real estate crowdfunding. As with investing in a REIT, real estate crowdfunding allows you to pool your money with other investors to invest in real estate. This could include multifamily units, commercial properties and bundles of single-family homes.
According to U.S. News & World Report, the top real estate crowdfunding platforms are ArborCrowd, RealCrowd, Groundfloor, CrowdStreet, PeerStreet, Small Change and RealtyMogul.
If you can afford the minimum investment — which is usually $25,000 — you can make big returns. Groundfloor boasts 10% returns for individual investors and CrowdStreet’s is even higher with 25.5% total average annual returns across all fully realized deals.
RealCrowd offers a breakdown of average annual income on a $1 million investment based on the property type: $78,000 for a suburban office, $72,000 for a retail space, $59,000 for a downtown office and $58,000 for a multifamily unit.
The online mortgage broker Lending Tree has tried to take some of the guess work out of that decision by ranking every community in Massachusetts with 5,000 or more residents based on their appeal to families with school-age children.
Hingham, under Lending Tree’s methodology, received a score of 72.5. Last-place Webster’s score was 31.9. Other towns in the top 10 included Winchester, Needham, Milton, Longmeadow, Wellesley, Cochituate, Pinehurst, Lexington and Nantucket.
JPMorgan Chase announced Tuesday a $25 million commitment to the Financial Health Network’s Financial Solutions Lab, a program meant to focus on the creation of fintech tools to help consumers better manage their finances.
The Financial Health Network (formerly The Center for Financial Services Innovation) previously received a $30 million philanthropic donation from the bank that spanned the last five years.
“The disappointing BAKKT opening signals to the crypto community that institutions are less ready to invest in BTC at scale than was supposed, which means the price was probably too high and due for a correction. What we’ve just seen is short sellers and momentum traders piling on to make things worse, and now here we are back at support,” Alex Mashinsky, CEO at crypto lending and depository company Celsius Network, told Mashable in an emailed statement.
STRATA Trust Company (“STRATA”), a custodian dedicated to the complexity of holding alternative investments in tax-advantaged, self-directed retirement accounts, announced today that the firm has surpassed $2 billion in assets under custody. STRATA offers access to a range of asset classes that include private equity, private debt, real estate, crowdfunding, structured settlements and more. Since 2008, STRATA has been committed to empowering investors and the investment community with wider diversification and alternative asset custody solutions in retirement portfolios by delivering industry-leading service, education and support.
Prominent online lender Borro Private Finance unexpectedly ceased its collateral-based lending program this summer after nearly ten years of business. The UK-US-based establishment specialized in online pawn loans against valuable assets, including fine art, jewelry, and watches. Borro’s discontinuation of its operations comes nearly two years after the company’s withdrawal from the bridge loan market in July 2017.
Siding with six consumers who filed suit asserting violations of state usury laws against online lenders, the U.S. Court of Appeals for the Eleventh…
Marqeta, the first global modern card issuing platform, today announced the addition of Chief Marketing Officer Vidya Peters to its executive team.
White Oak Commercial Finance (“White Oak”), an affiliate of White Oak Global Advisors, announced today it has purchased a portfolio of asset-based loans from Veritas Financial Partners, a Boca Raton, FL based specialty finance company.
Alchemy Technology Inc. and Equifax Inc. (NYSE: EFX) today announced a new partnership to drive FinTech innovation. The relationship is designed to help banks, specialty financing firms and FinTech startups accelerate their time to market with easily deployable white labeled lending solutions. The two companies will make the “tech” in FinTech available to organizations of all sizes with a powerful combination of the Alchemy Lending Operating System and Equifax data analytics, credit, identity and income verification solutions.
Lendingblock, the regulated, open exchange for institutional borrowing and lending of digital assets, today announces the appointment of John Macpherson as a strategic advisor.
CoreLogic, a global provider of property information, insight, analytics and data-enabled solutions, today announced that CoreLogic Credco integrated its Three-Bureau PreQual credit report and score solution on eLEND Solutions, an automotive technology company specializing in online and in-store credit and finance solutions. The integration of the prequalification solution gives CoreLogic Credco customers who use eLEND instant, single-source access to a consumer’s credit report and FICO score from all three national credit bureaus – Experian, TransUnion or Equifax.
Tavant, a Silicon Valley-based provider of AI-powered digital lending technologies, announced today it has been named to the 2019 IDC FinTech Rankings, the most comprehensive vendor ranking within the financial services industry.
FinTech payments disruptor Klarna has announced the start of its “No drama, just Klarna” retail campaign in partnership with 13 brands in the U.K., the company said in a press release on Wednesday (Sept. 25).
Klarna offers “pay later” payment options and attracts 50,000 new users each week. The startup said that in the past year, it has processed 12 million transactions. In August, more than 100,000 U.K. shoppers downloaded the Klarna app.
Klarna, a London based installment financing provider and challenger bank, said it surpassed 3 million active users in the U.K. and 170,000 retail merchants worldwide.
THE age at which UK men and women finally feel secure in their finances is 31, according to Zopa.
The survey showed a clear split between age groups, with 21 to 25 year-olds believing 32 would be the age when they finally felt good about their finances, while those age 26 to 30 were less optimistic about the future, saying they would reach money maturity at 38.
OakNorth Bank, the UK bank powered by OakNorth, has provided a £20m loan to the RAW Mortgage Fund, a specialist fund providing buy-to-let property loans against residential real estate in the UK.
Anyone who believes they have been mis-sold a Wonga loan is allowed to apply for compensation, but its administrators set a deadline of 11.59pm on September 30.
If you miss the deadline, you won’t be able to apply anymore and you won’t get any compensation for mis-selling.
Nexo is adding the NYDFS-regulated PAX Gold as a collateral option for its signature , bringing gold-backed lending to the blockchain.
With PAX Gold, now offers gold investors instant access to their gold wealth in over 45 fiat currencies via same/next day transfers and across 200+ jurisdictions.
Kreditech is ready to scale globally in the near-prime customer segment – declares David Chan, Kreditech CEO. The Germany-based online direct lender and Point-of-Sale (POS) financing provider estimates its global target market at ca. EUR 300 bn in consumer credit issuance. It aims to reach EUR 1 bn in revenue by 2025, which will be driven by growth in existing markets where Kreditech is present, as well as expansion into new geographies. Kreditech currently operates in India, Poland, Russia and Spain, and serves over one million customers. The company has raised EUR 20 million in its latest equity financing round.
For better or worse, it was Wonga that first put “challenger lenders” on the map. The UK payday lender’s meteoric rise saw it become a household name before its collapse last year after a string of irresponsible, inflated loans.
This month alone, large funding rounds were announced by Sweden’s Capcito and Lendify, as well as by UK’s Sonovate, an invoice lender for SMEs with over 750 active clients. Banks are also watching closely, with Goldman Sach’s equity arm being a notable funder in Lendable, recently ranked the UK’s sixth fastest-growing private tech company.
In the UK, the challenger-lender industry grew to £6.1 billion in 2017, according to a study by the Cambridge Centre for Alternative Finance (CCAF). The CCAF also estimated that 29% of all new loans issued to SMEs came from challenger lenders in 2017. PwC predicts that figure will rise to nearly 40% in the next decade.
Regulators the world over are beginning to take a closer look at the alternative and marketplace lending business model.
In June, the U.K.’s Financial Conduct Authority announced plans to impose stricter restrictions on marketplace and peer-to-peer (P2P) lenders beginning this December following the watchdog’s decision to place P2P lending platform Lendy into administration — a result, the FCA said, of the industry’s lenient requirements to disclose governance arrangements and controls.
Also, in China, analysts at Yingcan Group pointed to the government’s P2P and marketplace lending crackdown as being likely to shrink the industry by as much as 70 percent this year.
From ATMs to credit cards and PayPal, the West’s dominance of innovation in consumer finance appears to have exhausted itself.
At the top of the emergent new order is the fintech duo from China — Alibaba Group Holding Ltd. and Tencent Holdings Ltd. Next in line are Alphabet Inc. and Walmart Inc., whose highly localized smartphone payment rivalry is playing out between Google Pay and PhonePe in India. In Southeast Asia, two homegrown ride-hailing giants are aspiring to dominate commerce.
The rise of African mobile money is associated with M-Pesa, Kenya’s digital-wallet revolution. Now traditional lenders like Standard Chartered Plc, with a presence on the continent going back more than a century, are discovering that online banking can help them mobilize low-cost current and savings accounts more profitably than acquiring customers via physical branches.
The founder of Harmoney, New Zealand’s biggest licensed peer-to-peer (P2P) lender, says he can’t see a viable P2P lending model in New Zealand which is why Harmoney has started lending its own money.
Harmoney, the first peer to peer lender to be licensed in New Zealand, has originated more than NZ$1 billion in loans since launching five years ago.
Well, sort of.
An attempt to analyse the price of a prestigious education.
Adam Neumann’s exit as CEO is the start of a painful journey for the deflated unicorn.
ICE introduces deliverable futures, and crypto crashes.