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How Optimization Modeling Can Increase Your Marketing ROI

Optimization modeling provides actionable insights that drive decisioning, allowing businesses to achieve their marketing and growth goals.

Published: March 12, 2024 by Julie Lee
What is Trended Data?

To better understand a consumer's credit behavior over time, financial institutions must leverage trended data.

Published: March 11, 2024 by Guest Contributor
Unlocking the Power of Fraud Consortiums

Learn about the benefits of a fraud consortium and how Experian's solutions can help prevent fraud without inconveniencing consumers.

Published: March 11, 2024 by Alex Lvoff
SCRA and MLA: What is the Difference?

This article was updated on March 7, 2024. Like so many government agencies, the U.S. military is a source of many acronyms. Okay, maybe a few less, but there really is a host of abbreviations and acronyms attached to the military – and in the regulatory and compliance space, that includes SCRA and MLA. So, what is the difference between the two? And what do financial institutions need to know about them? Let’s break it down in this basic Q&A. SCRA and MLA: Who is covered and when are they covered? The Servicemember Civil Relief Act (SCRA) protects service members and their dependents (indirectly) on existing debts when the service member becomes active duty. In contrast, the Military Lending Act (MLA) protects service members, their spouses and/or covered dependents at point of origination if they are on active duty at that time. For example, if a service member opens an account with a financial institution and then becomes active military, SCRA protections will apply. On the other hand, if the service member is of active duty status when the service member or dependent is extended credit, then MLA protections will apply. Both SCRA and MLA protections cease to apply to a credit transaction when the service member ceases to be on active duty status. What is covered? MLA protections apply to all forms of payday loans, vehicle title loans, refund anticipation loans, deposit advance loans, installment loans, unsecured open-end lines of credit, and credit cards. However, MLA protections exclude loans secured by real estate and purchase-money loans, including a loan to finance the purchase of a vehicle. What are the interest rate limitations for SCRA and MLA? The SCRA caps interest rate charges, including late fees and other transaction fees, at 6 percent. The MLA limits interest rates and fees to 36 percent Military Annual Percentage Rate (MAPR). The MAPR is not just the interest rate on the loan, but also includes additional fees and charges including: Credit insurance premiums/fees Debt cancellation contract fees Debt suspension agreement fees and Fees associated with ancillary products. Although closed-end credit MAPR will be a one-time calculation, open-end credit transactions will need to be calculated for each covered billing cycle to affirm lender compliance with interest rate limitations. Are there any lender disclosure requirements? There is only one set of circumstances that triggers SCRA disclosures. The Department of Housing and Urban Development (HUD) requires that SCRA disclosures be provided by mortgage servicers on mortgages at 45 days of delinquency. This disclosure must be provided in written format only. For MLA compliance, financial institutions must provide the following disclosures: MAPR statement Payment obligation descriptions Other applicable Regulation Z disclosures. For MLA, it is also important to note that disclosures are required both orally and in a written format the borrower can keep. How Experian can help Experian's solutions help you comply with the Department of Defense's (DOD's) final amendment rule. We can access the DOD's database on your behalf to identify MLA-covered borrowers and provide a safe harbor for creditors ascertaining whether a consumer is covered by the final rule's protection. Visit us online to learn more about our SCRA and military lending act compliance solutions. Learn more

Published: March 7, 2024 by Sameer Gavankar
How to Prevent New Account Fraud

New account fraud can pose a serious risk to your business, and your current security methods might be hurting your customers' experience.

Published: March 7, 2024 by Julie Lee
AI-Driven Credit Risk Decisioning: What You Need to Know

Lenders who use AI-driven credit risk decisioning can help improve outcomes for borrowers and increase financial inclusion.

Published: March 6, 2024 by Julie Lee
From Definition to Prevention: Understanding Synthetic ID Fraud

A multilayered defense can help detect and prevent synthetic ID fraud, one of the fastest-growing types of fraud. Read more!

Published: March 4, 2024 by Guest Contributor
Report: State of the Economy, February 2024

This report provides a snapshot of the top monthly economic and credit data, including inflation, the housing marketing, and card balances.

Published: February 29, 2024 by Josee Farmer
Used Car Dealer Podcast Interview on the Launch of Fraud Protect

Fraud and identity theft in the automotive industry continue to make headlines with the result bringing significant monetary losses for dealers. In 2022, more than 60% of automotive dealerships filed cases of identity theft losing three or more vehicles, with 84% saying there has been a noticeable increase in identity fraud since the pandemic. Even though dealers understand that fraud is on the rise, 66% stated they lacked adequate identity fraud protections [1]. In a recent episode of the Used Car Dealer Podcast, host Zach Klempf, spoke with Kanchana Sundaram, Experian's senior director of product and innovation for automotive, to discuss Fraud Protect, a new tool from Experian that helps dealers combat fraud. During the interview, Kanchana highlighted how dealers can use Fraud Protect to better identify potentially fraudulent behavior, without slowing down the sales process and still maintaining a positive experience for both them and the consumer. By leveraging the latest technology and advanced analytics, dealers are able to detect some of the most common fraud types that include: Third-party fraud: Fraudsters steal an individual’s identity to purchase a vehicle First-party fraud: A person knowingly misrepresents their identity or provides false information, often with the intention of not paying for the vehicle Synthetic identity fraud: Fraudsters create fake identities and build credit profiles over time before using them to finance a vehicle they do not intend to pay for The episode is now available across all major podcast platforms, click the link to watch: YouTube To learn more about Fraud Protect, visit Experian’s auto fraud prevention solutions webpage. For more information on the Used Car Dealer Podcast, visit https://www.sellyautomotive.com/podcast Facebook – @SellyAutomotive ‘X’ – @SellyAutomotive LinkedIn – @SellyAutomotive 1. https://www.elendsolutions.com/research/2022-Identity-Fraud-Survey-Report/

Published: February 28, 2024 by admin
What is Credit Risk Analytics and What Are the Latest Trends?

Credit risk analytics can help financial institutions quantify the risk that a borrower won't repay a loan as agreed.

Published: February 28, 2024 by Julie Lee
Drive More New Account Openings with Credit Education

Credit education resources can create opportunities for consumers to open more new accounts, which can help drive more new business.

Published: February 27, 2024 by Brian Funicelli
Financial Services Onboarding and Identity Verification

Seamless financial services onboarding requires organizations to enhance their identity verification methods.

Published: February 23, 2024 by Kelly Nguyen
Identifying and Stopping Bot Attacks

Almost every business that has an online presence will have to face and counter bot attacks. Read more to learn how.

Published: February 22, 2024 by Laura.Burrows@experian.com
Level Up with Data-Driven Marketing Insights

Data-driven marketing insights can help your organization target more accurately and create a better customer experience.

Published: February 21, 2024 by Theresa Nguyen
Improving Your Credit Risk Machine Learning Model Deployment

New approaches to model operations are also helping lenders accelerate their machine learning model development processes.

Published: February 20, 2024 by Julie Lee

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