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Read this white paper from EDGE to learn about how regulatory differences affect lending and borrowing patterns.
Once the cornerstone of all lending decisions until the mid-eighties, cash flow underwriting is at a new tipping point thanks to machine learning and data analytics.
If you’re like most people, you answered the NCAA Championships. That’s not a slight against others like the National Invitational Tournament, College Basketball Invitational, and CollegeBasketball Crown. But when it comes to college basketball and March sports in general, there’s the Big Dance and then there’s everyone else.
For much of the past decade, open banking has been a buzzword tossed around by opinion leaders, pundits, and a few of my smarter friends. I'll admit that I didn't have more than a third-grader's understanding of open banking until I met the EDGE team and started ideating with them on what we could build and bring to credit unions.
Nearly every checking and savings account in the U.S. can be accessed through a bank data aggregator. An entire ecosystem of open banking fintech has emerged around this data – from financial health dashboards to payments authentication to credit risk assessment.
Leading credit union fintech news outlet Finopatomus covered EDGE's recent entry into the space and unique value proposition.
Akoya will deliver consumer-permissioned bank account data to EDGE and its consumer lending customers for better informed underwriting decisions.
EDGE´s VP of Strategy spoke on a panel on "The Power of Alternative Data in Lending" alongside other leaders in fintech and credit risk analytics.
Bank transaction analytics platform EDGE announced today that it is officially a Consumer Reporting Agency (CRA). As a CRA, EDGE can deliver income verification and credit risk analytics based on consumer-permissioned data while providing all consumer safeguards required by the Fair Credit Reporting Act (FCRA).
NinjaEdge announced today the successful integration of its proprietary bank data analytics service into Liberty Rent’s platform to convert more applicants into residents for landlords. Founded in 2014, Liberty Rent is a SaaS analytics company that provides best-in-class risk analysis, payment services, and third-party claims settlement for multifamily property owners and managers. With its rent guarantee solution, Liberty Rent facilitates “no cost, no risk” acceptance of potential residents for property management companies throughout the U.S.
When most of us were gearing up last fall for turkey, football, and political arguments with Uncle David, Amazon announced they were going to start selling cars. And why not? They drop off boxes weekly at most of our doors for everything from TVs to toothpaste, but with an average order value of around $50 they’ve been missing out on one of the biggest ticket purchases most of us ever make: our cars.
Today, we're diving into the world of storefront lending and how automation is transforming the game. We'll explore the incredible advantages of automation and how it's paving the way for more efficient, customer-friendly, and data-driven lending processes.
In the world of lending, making sound decisions is paramount. A borrower's income is a critical factor in assessing their creditworthiness and ability to repay a loan. Lenders require effective tools to evaluate this key aspect of every loan application. Enter EdgeIncome, a solution that empowers lenders to make informed decisions while streamlining their operations.
Bank transaction-based credit risk underwriting revolutionizes lending by providing valuable insights into borrowers' repayment abilities, and EdgeScore excels as a leading predictive risk score in accurately assessing risk across the credit spectrum.
Verification of income has traditionally been one of the most expensive and time-consuming steps in a loan application. With the innovation of instant bank verification (IBV), proof of income can be achieved in near real-time along with a host of risk insights relevant for credit decisions.
Edge, using its industry-leading data lake, has gained valuable insights into the influence of Buy Now Pay Later (BNPL) on various credit types. Proprietary research reveals that borrowers engage in familiar patterns such as loan stacking, increased borrowing during financial stress, and heightened default risk due to additional obligations.
Buy Now, Pay Later plans are frequently in the headlines for opportunities and risks alike. BNPL obligations pose a challenge for other lenders because they are largely unreported to credit bureaus. However, these liabilities can be reliably found in bank transaction data – an essential step in decisioning on a complete picture of consumer risk.
Traditional credit scores are inadequate for assessing risk in nearly half of the U.S., while analyzing cash flow behaviors in checking and savings accounts provides a more comprehensive financial picture, leading to actionable insights that enhance underwriting decisions.