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Industry: Consumer Lending

Top Three Mortgage Lending Trends: How to Make Smarter Credit Decisions Today to Thrive Tomorrow

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Top Three Mortgage Lending Trends:
How to Make Smarter Credit Decisions Today to Thrive Tomorrow

From HELOC to HELOAN, the global mortgage lending market is vast – it reached almost $11.5 billion in 2021 and – despite economic slowdowns – is estimated to grow at a CAGR of 9.5% through 2031, reaching a mammoth size of $27.5 billion. 

However, the last few years have brought the mortgage industry face-to-face with an unprecedented challenge – to digitize core functions almost overnight to tackle record levels of origination and forbearance activities. Many lenders had to expedite tech projects to provide the necessary infrastructure needed to support these new practices and accelerated digital solutions to create better customer experiences and reduce operational costs.

While the industry has found success in adopting new digital solutions, the UK still faces a housing affordability crisis, leaving consumers even more reliant on credit for mortgage originations, refinancing, and regular payments. Though there are attempts to combat the lack of affordable mortgages, like this initiative from Skipton Building Society, rates continue to rise.

Amidst these economic challenges, however, innovation and technological advancements in the industry provide opportunities for companies to adapt and succeed in this challenging environment. From better customer experiences to more accurate credit risk decisions and more financial inclusion, the industry is evolving. 

Discover the top three mortgage lending trends that can help you make smarter credit decisions today to thrive tomorrow.

Trend 1: Increased Use of Automation

Mortgage lending can be tedious for both lenders and applicants at the best of times, due to lengthy, complex processes with multiple stages. While mortgage transactions can take between six to eight weeks to close on average, consumers believe they should take no more than three. That’s why automation is a trend with wind in its sails: decisioning automation can help lenders meet borrower expectations. 

Why it’s popular

Instead of having to wait months for a mortgage, decisioning automation allows lenders to approve customers in a fraction of the time. Even the most complex processes are streamlined, saving time (and brain power) across the board. Customers benefit from approval periods that align with their expectations, while lenders expedite their workload to produce more accurate decisions, faster – freeing up resources to attract and retain customers while boosting sales volume. 

How to use it

While automation may seem intimidating to actually use, finding the right decisioning automation tech is often the biggest hurdle. Take control with flexible technology that offers drag-and-drop UI, letting you configure and reconfigure automations to reflect your changing needs, eliminating reliance on vendors and dev teams. With optimized data and integrated workflows that can layer on top of existing tech and talk to a variety of systems, automated decisioning can be as simple as clicking a few buttons.

Trend 2: Data-Driven Risk Decisioning

Credit risk decisioning is an essential element of mortgage lending, ensuring that lenders are mitigating fraud and default risk and borrowers are getting the right loan terms. For long term loans like mortgages, accuracy is essential to mitigate risk and provide competitive offers to consumers. And an increasing number of mortgage lenders are using data-driven risk decisioning to do both.

Why it’s popular

Mortgage lenders no longer have to accept uncertainty – whether it be in economic conditions or customer behavior. Accessing real-time data ensures more accurate creditworthiness assessment and lower risk for the lender. It can also help businesses grow by providing the insights needed to hyperpersonalize offers for both new and existing customers, improving competitive advantage. On-demand data can also help flag if risk profiles change, allowing lenders to step in long before missed payments or home repossession.

How to use it

The ideal way to harness data-driven risk decisioning for your mortgage lending business is to invest in a data and decisioning ecosystem in which the decisioning engine pulls real-time data on demand from a variety of data sources through a single API. The streamlined, integrated tech stack helps you better understand consumer needs across the entire customer lifecycle. Add in machine learning for evolving customer insights that will eliminate the guessing game and let you make smarter credit risk decisions.

Trend 3: Alternative Credit Scoring Models

Financial inclusion has been gaining traction in the fintech world for years, but recent global economic and political overhauls permanently changed the way we think about access to financial services. Alternative data is a central feature enabling financial inclusion initiatives for lenders across the world. No wonder 65% of credit risk/lending decision makers use alternative credit data on at least half of their credit applications. And that number is only growing, helping lenders accelerate financial inclusion by enabling the creation of alternative credit scoring models, eliminating reliance on traditional credit bureau data alone.

Why it’s popular

Traditional credit scores don’t tell the whole story, especially when it comes to thin or no-file consumers – and 71% of credit providers agree. Alternative data lets lenders access a variety of data that doesn’t come from credit bureaus, including utility payment history, employment data, geographical data, and rent payment history – data that would be especially relevant to establish creditworthiness for a new homebuyer. Mortgage lenders who use alternative data to build alternative credit scoring models can expand their customer bases without increasing risk and support financial inclusion at the same time.

How to use it

In order to build alternative credit scoring models, you need decisioning tech integrated with alternative data. The most powerful data and decisioning platforms simplify the data supply chain, pulling in the relevant data exactly when you need it to ensure more accurate decisions for every application. And don’t compromise on risk – create processes that pull in more alternative data for thin file applicants and less or none for traditionally creditworthy applicants. 

These Trends are Here to Stay

Mortgage lending is often a long, complex process that puts a strain on both lenders and borrowers. The trends we explored today help alleviate that strain, and that’s why they’re here to stay. 

From automation that improves processing speed and customer experience to data-driven risk decisioning that improves risk assessment accuracy and competitive edge through personalized offers to alternative scoring models that help lenders grow their business and accelerate financial inclusion of the under or unbanked, these trends represent the future of the industry.

Want to take these trends and run with them? Make sure your mortgage lending business is ready with our eBook, The Secret to Consumer Lending Success. Download it today!

The Secret to Consumer Lending Success

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Shaking Up Consumer Lending in the UK

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10 Fintechs Shaking Up
Consumer Lending in the UK

Looking at the UK landscape and 10 innovative global fintechs

With the ever-evolving landscape of financial technology, consumer lending has never been more accessible and efficient – in large part, due to fintech innovation. With a global consumer credit market size of $110 billion (in the UK, consumer lending reached reached over 28 billion British pounds in January 2023, which is a dramatic recovery from early in 2020), rapidly growing middle classes in emerging markets, and economic uncertainty affecting us all, the opportunity for lenders to tap into the consumer need for credit is immense.  

As predicted, the UK economy in particular is adapting as many experts feel a major recession has been avoided, and as a result, banks are expected to increase their lending this year. “Total loans in the UK are expected to rise 1.2% this year… with falling inflation, lower-than-anticipated energy bills and a resilient job market” contributing to an increase in the UK GDP, “driving an increase in consumer and business borrowing.”

When it comes to consumer lending specifically, fintechs are answering the call for increased borrowing demands and are looking to disrupt the traditional. No credit score? No problem. Worried about missing payments? You’re covered. From a company supporting gig workers around the world to a credit card for foodies, these ten global fintechs are shaking up auto lending, BNPL, credit cards, mortgages, and retail/POS. 

Auto Lending

Lendbuzz – USA

If you’re new to credit, it can be difficult to get approved for auto financing. Lendbuzz is here to change that. The fintech proves a simple and fast application process that assesses creditworthiness with data beyond just your credit score. Working directly with auto dealerships, Lendbuzz offers personalized loans and instant decisions, taking you through the process from start to finish.

Moove – EMEA and India

Founded in Nigeria in 2020, Moove is a global startup that aims to democratize access to vehicle ownership for “mobility entrepreneurs” across Africa, the Middle East, Europe, and India. Tackling the high barrier to vehicle financing that millions face, especially in emerging markets, Moove uses a revenue-based financing model to offer car loans that drivers then pay off through their ridesharing app. 

Buy Now, Pay Later

ShopBack (formerly Hoolah) – Southeast Asia and Australia

Singapore-born ShopBack is a fintech that provides improved shopping experiences to consumers and broader reach and shopper engagement to brands and retailers. Operating across APAC, their integrated BNPL service allows you to pay off purchases in installments of three, which can be combined with features such as cashback and prepaid retail vouchers. ShopBack hopes to make shopping “more rewarding, delightful, and accessible.”

Nelo – Mexico

If you want to buy now, pay later at Mexico’s top merchants, you want to download Nelo’s top-rated app – it’s the first of its kind in the region, enabling shoppers to pay in installments with a virtual card generated at checkout. And through the company’s partnership with Mastercard, you can use it at any online merchant. You can also use it to finance everyday expenses like utilities and other bills, a mark of BNPL innovation and a sign of how the segment is likely to evolve.

Credit Card

Cred.ai, USA

Cred.ai is an AI-powered credit card designed to help users build credit while mitigating missed payments. The fintech sets up automated spending limits, helping you spend within your means, and their proprietary underwriting model means you don’t need a FICO score to apply. The card itself is metal, unicorn-themed, and free for approved applicants. It works best with their digital banking product and comes with features like an early paycheck (called flux capacitor) and digital “self-destruct” cards called stealthcards. 

Yonder, London

A rewards credit card “great for expats and immigrants,” Yonder is a rewards credit card that boasts no foreign exchange fees, worldwide travel insurance, and you can apply without a UK credit score. Leveraging open banking technology, the credit card is able to focus on financial inclusion while rewarding users for the experiences that enrich their lives, whether it’s travel or dining at Yonder’s curated restaurant partners around London.

Mortgage

Hypofriend, Germany

Hypofriend was founded to simplify and personalize the process of getting a mortgage for Germans. They use advanced technology to analyze your optimal finance strategy while predicting bank decisions in order to connect you to a personalized mortgage offer from a lender that fits your needs. The Hypofriend team is also there to advise from start to finish, demystifying the complex process and providing transparency to support more financial literacy and understanding.

HomeCrowd, Malaysia

Focused on helping Millennials in Malaysia achieve the dream of owning a home, HomeCrowd uses holistic, data-driven credit scoring to match mortgage applicants with peer-to-peer (P2P) lenders on a blockchain-powered, Web3 platform. The company is the first in the country to be licensed and regulated for P2P lending specifically for mortgages and consumer financing by the government. 

Retail/Point-of-Sale (POS)

Blnk, Egypt

Did you know that less than 4% of Egyptians have access to credit cards? The majority of Egyptians must rely on savings or finance purchases with high-interest loans. Blnk is here to change that – they enable any consumer to receive instant credit at the point-of-sale. Their current network of merchants includes over 300 businesses and the fintech has already disbursed over $20 million in loans. 

Acima, USA

US-based Acima offers consumers lease-to-own solutions as an alternative to traditional retail financing. You don’t need credit to apply and your credit score isn’t affected. Simply lease the furniture, electronics, or any other item you want to purchase and “rent” it until the cost of the item is covered, or pay early at a discounted rate. If you no longer want the item, just return it! Acima enables online and in-store shopping and offers flexible payment terms.   

Unlocking Consumer Lending Innovation

As access to consumer credit increases around the world, both fintechs and traditional financial service providers will need to leverage the right technology to provide it. The ten fintechs you just read about have found their innovative idea to disrupt consumer lending – what will yours be?

No matter the idea or use case, you need a technology partner that thinks like you. Future-proof your consumer lending strategy and launch new products with a data and decisioning ecosystem that manages risk, so you can focus on what matters most: serving your customers in new, disruptive ways. 

Read the eBook, The Secret to Consumer Lending Success, to discover how you can overcome any lending challenge with a robust credit risk decisioning platform that grants access to both alternative and traditional data sources through a single API.

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When Were Credit Scores Invented

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When were credit scores invented and how does credit scoring work?

The History of Credit Scores

Credit scores and reports are essential components of financial services products. But do you know when credit scores were invented and how consumer credit reporting works? In this guide, we provide all the information you need to know about credit scores, including their history, and how they impact your financial life. Keep reading to learn more.

Credit Scores and Credit Bureaus: An Origin Story

Credit scores as we know them today have only been around for a few decades. However, credit reporting itself began early in the 19th century, as commercial lenders attempted to ‘score’ potential business customers to determine the risk in providing credit to them. The very first credit reporting agencies (what we know now as companies like TransUnion and Equifax), began as local merchant associations. They simply collected various financial and identification information about potential borrowers and then sold it to lenders – but these were focused strictly on commercial/business loans at the start, offered to organizations that needed funding to launch or grow their operations. The earliest credit reporting agencies in the United States were R.G. Dun & Co and the Bradstreet Company (sidenote: sound familiar? The two companies merged in 1933 and rebranded as Dun & Bradstreet Inc. in 1939), which developed an alphanumeric scoring method to determine the risk factors associated with commercial loan applications.

In the early 20th century, modern credit bureaus were formed, looking more closely like we know them today. Taking a page out of the commercial-loans book, retailers began offering consumer credit to individuals. These retailers all had individual credit managers, tasked with determining creditworthiness of applicants. In 1912, they decided to band together and formed a national association to “develop a standard method for collecting, sharing and codifying information on retail debtors.”

In subsequent years, the three major credit bureaus in the U.S. were born – today known as Equifax, TransUnion, and Experian. Through the 70s and 80s they worked together to develop consistencies in credit reporting methods and pushed for an unbiased, more automated way of determining credit scores.

Credit Score Vs. Credit Report
But what IS a credit score? And how is it calculated? And what’s the difference between a credit score and a credit report?

A credit report comes first. A detailed historical record of your financial transactions and financial status, a credit report includes everything from identifying personal information (name, address, date of birth), to consumer credit accounts (credit cards, lines of credit, auto loans, mortgages), and ‘inquiry’ information (i.e., information on the companies who have pulled your credit report to make you offers of new credit products, or pre-approvals for upsells, etc.). A credit score is then calculated based on that information. Typically a three digit number (we’ll get into regional differences later), this credit score quickly tells potential lenders how creditworthy you are. In North America, the higher the score, the lower risk you are and therefore, a more worthy applicant.

Traditional credit scoring systems are not without fault, however. They often don’t take into consideration additional factors that can influence your credit risk level (i.e., most modern credit reports don’t include rental payments, which can be a very accurate predictor of someone’s propensity to pay back debt.) And there can be a significant lag between an applicant’s activities and pulling a credit report/score – real-time data is much more valuable (and accurate) in assessing an individual’s risk.

So how do credit scores really work? A mathematical formula based on the information found in your detailed credit report, a credit score allows potential lenders to instantly assess how creditworthy you are. A higher credit score indicates that a) you are more likely to pay off your debt/repay any credit provided and b) pay off that debt both on time, and according to the agreed-upon terms. With a more favorable credit score, you are more likely to have lenders extend you credit products, such as new credit cards, auto loans, mortgages, and consumer loans. Beyond that, the higher your credit score, the more likely it is that lenders will offer you better terms, including flexible repayment schedules and lower interest rates. If you are stuck carrying a low credit score, you run the risk of not being able to access credit when you need it or having to accept higher interest rates.

Calculating Your Credit Score

A FICO score (Fair, Issac and Company) is one of the most well-known credit scores in the US. In fact, “FICO scores are used by 90% of the top US lending institutions for their risk assessment needs.” These three-digit scores, which first began in 1989, are calculated based on the information found in your credit report from one of the three major credit bureaus. There are five main factors that FICO uses to calculate your credit score, with different categories carrying different weights. (Sidenote: other credit scores are calculated much the same way but may have different weights associated with the main contributing factors.)

For FICO scores, the factors are:

  • Payment history (35%)
  • Balances owed/credit usage (30%)
  • Length of credit history/age of accounts (15%)
  • Credit mix (10%)
  • Recent credit activity and new accounts/new credit inquiries (10%)
Credit Scoring Around the World

Despite the overwhelming prominence of the United States’ three main credit bureaus, there are regional differences in credit scoring models and the use of credit scores. While each region uses the same basic premise of evaluating an individual’s credit history to determine their creditworthiness, there are variations in how that credit scoring is executed. The main variations in credit scoring methods relate to:

  • How long certain information stays on your credit report
  • Who can contribute information to your credit report
  • How many credit bureaus exist in a particular country/region
  • Whether those credit bureaus are for-profit or not-for-profit (and who owns them)
  • Whether lenders are required to use your credit report and/or credit score to determine your risk level
Here’s a handful of examples of the ways various regions handle credit scoring:
  • United States – Lenders report details of your financial situation, including credit and historical transactions, to one of the three major credit bureaus (Equifax, Experian and TransUnion) – who then either generate a credit score or provide the credit reports to a credit scoring company like FICO, which then calculates a FICO score.
  • Canada – Canada is similar to the U.S, but doesn’t use Experian as a credit bureau, and its credit scores upper limit is 900 vs 850.
  • United Kingdom – The U.K. has three major credit agencies – Equifax, Experian and Callcredit (Noddle), but each organization calculates credit scores differently.
  • France – There are no official credit reporting agencies in France; instead, credit scores are built on a bank-by-bank basis but aren’t transferable to other lending institutions.
  • Netherlands – The Netherlands has a single credit bureau, Krediet Registratie (BKR), which unpaid debts are reported to.
  • Germany – The main credit agency, SCHUFA, is a private company that tracks accounts, unpaid debts, loans, and any delinquencies. Your SCHUFA score goes down (which is positive) as you gain financial history and pay down debts.
  • Australia – Australia has four main credit bureaus (Equifax, Dun and Bradstreet, Experian, and the Tasmanian Collection Service).
  • India – India utilizes one official credit reporting agency, Credit Bureau Information India (CIBIL), which is a partner of TransUnion.
  • Japan – There is no official credit scoring system in Japan, and creditworthiness is simply determined by individual lenders, making it extremely difficult to get credit if you are a foreigner.
How does credit scoring affect consumer lending?

A credit score that is rated as ‘good’ or ‘excellent’ will save most people thousands of dollars over the course of their lifetime. If you have excellent credit, you get better rates and payment terms on everything from mortgages and auto loans to credit cards and lines of credit – essentially anything that requires any sort of financing. If you have a better credit rating, you are seen as a lower-risk borrower, with more banks and lenders readily competing for your business by offering better rates, fees, and perks. On the flipside, those with poor credit ratings are seen as higher-risk borrowers, and may either have less favorable lending terms (higher interest rates in particular), or be unable to access credit at all when they need. Apart from just accessing lending products, those with poor credit scores may find it difficult to find rental housing, rent a car or even obtain life insurance.

Lenders use credit scores as part of their risk decisioning process to determine the creditworthiness of a potential individual or business customer. So, the ripple effect of either a positive or negative credit score is significant – and it can last an incredibly long time, particularly if there are delinquencies or defaults noted on your credit report.

However, part of the issue with this is that credit scoring can often have inherent biases. This greatly impacts various demographics from fairly accessing credit. For example, immigrant communities may not have formal credit histories. No credit history = low credit score. Low credit score means they can’t easily access lending products and therefore can’t start building a credit report/score. Or they are forced to accept suboptimal terms with exorbitantly high interest rates and may have difficultly paying down that debt as a result. Which of course, is a mark against you on your credit report.

Alternative Data for Financial Inclusion

The example above is not uncommon in our global society – there are countless immigrant populations in countries all over the world, and millions more who have no access to formal financial services products. There are many terms for those who lack a traditional credit history – thin-filed, credit invisible, unbanked, underbanked – but it essentially refers to anyone who doesn’t have information in their official credit history/report to generate a credit score. This includes an estimated 62 million Americans, 200 million people in Latin America and 3.6 million in Asia having no access to formal credit. One-third of all adults globally (up to 1.7 billion people) lack any type of bank account.

How can lenders ensure equal access to credit, even for those without formal credit histories, without sacrificing their risk strategy? One way is to use alternative data. Alternative data includes anything outside of a traditional credit report that may indicate creditworthiness, including telco information, rent and utilities payment info, social media and web presence, travel data and open banking info.

Because this type of data is often missing from traditional credit reports (and thus the formulation of credit scores), they can be inherently biased towards certain minority demographics. The data that FICO scores consider (like payment history, length of credit history, etc.) is also often influenced by generational wealth and the passing of large assets like homeownership (i.e., mortgage data counts towards your credit score, rental payment usually does not). “The Black homeownership rate was 44% at the end of 2020 compared to the 74.5% rate for non-Hispanic white consumers. Since credit scoring models look at homeowners’ housing payments and ignore renters’ rental payment history, Black consumers are at another disadvantage, despite both types of payments falling under the same category of “housing.” Ensuring that lenders are supplementing traditional credit scores with alternative data helps to overcome that bias and ensures financial inclusion.

Using alternative data helps to provide a more holistic view of the financial health (both current and future potential) of customers, improves decisioning accuracy and even helps increase fraud protection with improved identity verification and KYC onboarding processes. Enabling more accurate credit decisioning allows lenders to expand their market safely, without increasing risk, and helps to encourage access to all unbanked/thin-filed individuals, setting people on the path to safely building their credit scores. Eighty-seven percent of lenders using alternative data are using it to more accurately evaluate thin/no-file customers and 64% improve their risk assessment among unbanked consumers.

Apart from individual lenders looking to alternative data sources, some credit bureaus are now offering ways to boost credit scores for thin-filed consumers:

  • Experian Boost – collects financial information that isn’t normally found in your credit report (i.e., utility payments and banking history) and includes that in the calculation of your Experian FICO score.
  • UltraFICO – free program that utilizes historical banking information to build your FICO score, looking at factors like paying bills on time, avoiding overdraft, and having savings.
  • Rental info reporting – new services that track rental payments and report that info to credit bureaus on your behalf.
How to improve your credit score
If you are struggling with a less than ideal credit score, don’t fret. There are steps you can take to improve your score over time:
  • Pay your bills on time, every time. This includes everything from mortgage payments and car loans to credit cards, utility bills and cell phone plans.
  • Reduce your overall credit utilization. Credit scores look at your credit utilization (the portion of your available credit that you use at any given time). After payment history, credit utilization is the second more important factor when calculating your credit score. Aim for 30% credit utilization or less to keep your credit score favorable and try to pay off credit card balances in full each month. (Bonus tip for a quick win – ask your credit card issuers to increase your limit slightly so your debt ratio goes down.)
  • Don’t apply for too much credit. New credit requests start with a ‘hard inquiry’ (hard inquiries include applications for new credit cards, mortgages, auto loans – too many of them can increase your credit score). Revolving credit (regularly closing old accounts and opening new ones) also has a negative impact on your credit score. Additionally, credit scores look at how long you’ve had your credit accounts – keep your old accounts open and old credit cards active but be sure to deal with any collections or delinquent accounts. If you have a lot of outstanding debt over various types of accounts, consider consolidating your loans, which results in one repayment, and possibly a lower interest rate to boot.
  • Sign up for credit monitoring services. These services can alert you to fraudulent behavior on your profile, help you keep up to date on your credit score, and often offer special tips on how to improve your credit score.

It’s clear that credit reports and credit scores have a significant impact on your ability to access credit. But as the financial services industry evolves, there are more and more innovative ways to determine creditworthiness, including the integration of alternative data, implementation of advanced decisioning solutions, and using more accurate, predictive models with artificial intelligence. And there are now more varied opportunities to access credit and financial services products, including the advancement of buy now, pay later (BNPL) solutions, and neobanks and fintechs who are taking a fresh approach to credit products.

If you’re a lender, how can you ensure that the history of credit scoring continues to evolve into something more holistic, more accurate, and more inclusive? Discover how a unified decisioning platform and easy access to a variety of data sources can help you say yes to more people, without increasing your risk.

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Further Reading:

15 Companies Changing the Landscape of BNPL

The Long, Twisted History of Your Credit Score

– Time Magazine

A History of Credit Scores

– point.app

The Fair Credit Reporting Act (FCRA)

– Investopedia

Learn more about how to improve decisioning accuracy and encourage financial inclusion with alternative data

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Infographic: Discover the Secret to Consumer Lending Success

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Discover the Secret
to Consumer Lending Success

The consumer credit market reached a staggering $11 billion market size in 2022. As a consumer lender up against variable economic conditions, market shifts, and evolving technology, prioritizing growth often moves customer happiness and risk management to the back burner. 

How can you improve the customer experience for consumers while managing risk and growing your business? Read the infographic to discover how smarter risk decisioning is the secret to consumer lending success.

Uncover More Secrets to Consumer Lending Success:

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Ten Fintechs Shaking Up Consumer Lending

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Ten Fintechs Shaking Up Consumer Lending

With the ever-evolving landscape of financial technology, consumer lending has never been more accessible and efficient – in large part, due to fintech innovation. With a global consumer credit market size of $11 billion, rapidly growing middle classes in emerging markets, and economic uncertainty affecting us all, the opportunity for lenders to tap into the consumer need for credit is immense.

Across the broad spectrum of consumer lending, fintechs are answering the call and disrupting the traditional. No credit score? No problem. Worried about missing payments? You’re covered. From a company supporting gig workers around the world to a credit card for foodies, these ten fintechs are shaking up auto lending, BNPL, credit cards, mortgages, and retail/POS.

Auto Lending
Lendbuzz – USAIf you’re new to credit, it can be difficult to get approved for auto financing. Lendbuzz is here to change that. The fintech proves a simple and fast application process that assesses creditworthiness with data beyond just your credit score. Working directly with auto dealerships, Lendbuzz offers personalized loans and instant decisions, taking you through the process from start to finish.
Moove – EMEA and IndiaFounded in Nigeria in 2020, Moove is a global startup that aims to democratize access to vehicle ownership for “mobility entrepreneurs” across Africa, the Middle East, Europe, and India. Tackling the high barrier to vehicle financing that millions face, especially in emerging markets, Moove uses a revenue-based financing model to offer car loans that drivers then pay off through their ridesharing app.
Buy Now, Pay Later
ShopBack (formerly Hoolah) – Southeast Asia and Australia

Singapore-born ShopBack is a fintech that provides improved shopping experiences to consumers and broader reach and shopper engagement to brands and retailers. Operating across APAC, their integrated BNPL service allows you to pay off purchases in installments of three, which can be combined with features such as cashback and prepaid retail vouchers. ShopBack hopes to make shopping “more rewarding, delightful, and accessible.”

Nelo – MexicoIf you want to buy now, pay later at Mexico’s top merchants, you want to download Nelo’s top-rated app – it’s the first of its kind in the region, enabling shoppers to pay in installments with a virtual card generated at checkout. And through the company’s partnership with Mastercard, you can use it at any online merchant. You can also use it to finance everyday expenses like utilities and other bills, a mark of BNPL innovation and a sign of how the segment is likely to evolve.
Credit Cards
Cred.ai – USACred.ai is an AI-powered credit card designed to help users build credit while mitigating missed payments. The fintech sets up automated spending limits, helping you spend within your means, and their proprietary underwriting model means you don’t need a FICO score to apply. The card itself is metal, unicorn-themed, and free for approved applicants. It works best with their digital banking product and comes with features like an early paycheck (called flux capacitor) and digital “self-destruct” cards called stealthcards.
Yonder – LondonA rewards credit card “great for expats and immigrants,” Yonder is a rewards credit card that boasts no foreign exchange fees, worldwide travel insurance, and you can apply without a UK credit score. Leveraging open banking technology, the credit card is able to focus on financial inclusion while rewarding users for the experiences that enrich their lives, whether it’s travel or dining at Yonder’s curated restaurant partners around London.
Mortgage
Hypofriend – GermanyHypofriend was founded to simplify and personalize the process of getting a mortgage for Germans. They use advanced technology to analyze your optimal finance strategy while predicting bank decisions in order to connect you to a personalized mortgage offer from a lender that fits your needs. The Hypofriend team is also there to advise from start to finish, demystifying the complex process and providing transparency to support more financial literacy and understanding.
HomeCrowd – MalaysiaFocused on helping Millennials in Malaysia achieve the dream of owning a home, HomeCrowd uses holistic, data-driven credit scoring to match mortgage applicants with peer-to-peer (P2P) lenders on a blockchain-powered, Web3 platform. The company is the first in the country to be licensed and regulated for P2P lending specifically for mortgages and consumer financing by the government.
Retail/Point-of-Sale (POS)
Blink – EgyptDid you know that less than 4% of Egyptians have access to credit cards? The majority of Egyptians must rely on savings or finance purchases with high-interest loans. Blnk is here to change that – they enable any consumer to receive instant credit at the point-of-sale. Their current network of merchants includes over 300 businesses and the fintech has already disbursed over $20 million in loans.
Acima – USAUS-based Acima offers consumers lease-to-own solutions as an alternative to traditional retail financing. You don’t need credit to apply and your credit score isn’t affected. Simply lease the furniture, electronics, or any other item you want to purchase and “rent” it until the cost of the item is covered, or pay early at a discounted rate. If you no longer want the item, just return it! Acima enables online and in-store shopping and offers flexible payment terms.

Unlocking Consumer Lending Innovation

As access to consumer credit increases around the world, both fintechs and traditional financial service providers will need to leverage the right technology to provide it. The ten fintechs you just read about have found their innovative idea to disrupt consumer lending – what will yours be?

No matter the idea or use case, you need a technology partner that thinks like you. Future-proof your consumer lending strategy and launch new products with a data and decisioning ecosystem that manages risk, so you can focus on what matters most: serving your customers in new, disruptive ways.

Read the eBook, The Secret to Consumer Lending Sucess to discover how you can overcome any lending challenge with a robust credit risk decisioning platform that grants access to both alternative and traditional data sources through a single API.

Conquer Consumer Lending

Explore the eBook

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The Secret to Consumer Lending Success

EBOOK

The Secret to
Consumer Lending Success

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Between stark competition, evolving regulation, and an unpredictable global economy, consumer lending can be a difficult space to thrive within. But the secret to consumer lending success isn’t hard to find: it can be unlocked by understanding the key differentiators within the industry.

Explore how you can turn challenges into opportunities across five major use cases: auto, mortgage, retail, BNPL, and credit cards. Read the eBook to discover the secret to consumer lending!

RESOURCE LIBRARY

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Datasheet Provenir For Consumer Lending

Provenir for Consumer Lending

World-Class Customer Experience. Instant Approvals. Smarter Decisioning.
Consumer lending is a broad market with a wide range of use cases to choose from, but the secret to success remains the same for each: provide world-class customer experience to your customers and do it in an instant, all while minimizing risk and mitigating fraud.

See how you can simplify application processes, automate decisions, and approve customers for personalized offers in real-time with Provenir’s AI-powered data and decisioning ecosystem. Serve your customers, outperform competition and grow your business with our powerful, future-proof technology.

Uncover More Secrets to Consumer Lending Success

Explore the eBook

ADDITIONAL RESOURCES

fintec buzz article

Top 5 Trends Financi...

Top 5 Trends Financial Institutions Needto Navigate in 2025 ...
AFJ

NEWS: A technology-d...

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global fintech series

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datos report

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Report Beyond Point Solutions: Orchestrating the Future of Fraud ...
datos insights

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maslow

Intelligent Response...

ProvenirNEXT: Roundtable Intelligent Response to the Changing Face of ...
Charlotte Street Hotel, London

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The State of AI, Ris...

The State of AI, Risk, and Fraud in Financial ...

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The Next Evolution of Consumer Lending

ON-DEMAND WEBINAR

The Next Evolution
of Consumer Lending

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Hosted By: Fintech Nexus

Consumer lending continues to move forward with innovation in all areas. While BNPL grabs a lot of the headlines the personal loan is more popular than ever with AI-based automated underwriting becoming the norm. And credit cards have seen more innovation in the last two years than in the previous twenty as it becomes easier to embed cards into the lending stack.

Even with a recession looming lenders continue to provide the next iteration of products across the credit spectrum. This panel of experts will discuss where the market is today, how they serve more borrowers than ever before, and why data is more important now than ever before.

Key Themes:

  • The proliferation of new data sources
  • Balancing new versus existing products in a challenging environment

Speakers:

  • Chris Kneed

    Managing Director for UK and Ireland, Provenir

  • Nick Harding

    Co-Founder & CEO, Fluro

  • Tim Waterman

    Chief Commercial Officer, Zopa

Moderator:

Todd Anderson

Chief Content Officer, Fintech Nexus


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The Missing Link – Improving Lenders Consumer Duty Through Data and Technology

ON-DEMAND WEBINAR

The Missing Link –
Improving Lenders Consumer Duty Through Data and Technology

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In a consumer-driven world, fintech lenders must put the customer at the center of their business to help them achieve their financial objectives and avoid potential harm.

But how prepared are you for the new regulations?

How will you integrate data within risk decisioning and analytics technology to keep ahead while protecting consumers at the same time?

What You’ll Learn:

  • How fintechs and banks have previously struggled with customer centricity.
  • How data insights can help the financial executives of fintechs and banks to meet Consumer Duty regulations.
  • The BNPL potholes & financial products that have impacted Consumer Duty.
  • How fintechs can help consumers use short-term finance responsibly.

Speakers:

  • Desmond McNamara

    Chief Risk Officer at Zilch, a direct-to-consumer payments technology company, which is FCA authorised for consumer lending.  Des has worked for over 30 years in risk management at large banks, as CRO for global credit card business and has also built a bank for scratch which was granted a full banking licence in 2020.

  • Chris Kneen

    Managing Director UK & Ireland at Provenir, is a global leader in risk decisioning and data analytics software. Chris is responsible for expanding Provenir’s customer base in the UK and Ireland, working closely with the company’s regional and global teams to accelerate growth and support clients. Chris oversees operations, sales, customer success, and pre-sales consulting teams.


RESOURCES

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The History of Lending

INFOGRAPHIC

The History of Lending

Technology and the Democratization of Lending

Did you know that the earliest form of Buy Now, Pay Later dates back to the 19th century, when consumers were able to purchase expensive goods (like furniture and farm equipment) on installment plans? While modern lending is often thought of as, well, modern, some of the technologies that impact our current financial services landscape have much older roots. Check out the infographic for some interesting factoids on the history of lending, the rise of modern technology, and just how far we’ve come in the world of lending.

The Ultimate Guide to Decision Engines

What is a decision engine and how does it help your business processes?

Read the Blog

RESOURCE LIBRARY

fintec buzz article

Top 5 Trends Financi...

Top 5 Trends Financial Institutions Needto Navigate in 2025 ...
AFJ

NEWS: A technology-d...

A technology-driven approach puts the brakes on auto-lending fraud ...
global fintech series

NEWS: The Shifting C...

The Shifting Consumer Credit Landscape Necessitates Credit Decisioning Platforms ...
datos report

Datos

Report Beyond Point Solutions: Orchestrating the Future of Fraud ...
datos insights

Datos PR

Datos Insights Spotlights Best-in-Class Data and Fraud Orchestration Capabilities ...
maslow

Intelligent Response...

ProvenirNEXT: Roundtable Intelligent Response to the Changing Face of ...
Charlotte Street Hotel, London

Intelligent Response...

ProvenirNEXT: Roundtable Intelligent Response to the Changing Face of ...
The State of AI, Risk, and Fraud in Financial Services

The State of AI, Ris...

The State of AI, Risk, and Fraud in Financial ...

Continue reading