Q&A Perspective Series: COVID-19 and the New Lending Frontier

by Laura Burrows 4 min read April 23, 2020

The coronavirus (COVID-19) outbreak is causing widespread concern and economic hardship for consumers and businesses across the globe – including financial institutions, who have had to refine their lending and downturn response strategies while keeping up with compliance regulations and market changes.

As part of our recently launched Q&A perspective series, Shannon Lois, Experian’s Head of DA Analytics and Consulting and Bryan Collins, Senior Product Manager, tackled some of the tough questions for lenders. Here’s what they had to say:

Q: What trends and triggers should lenders be prepared to react to?

BC: Lenders are still trying to figure out how to assess risk between the broader, longer-term impacts of the pandemic and the near-term Coronavirus Aid, Relief, and Economic Security (CARES) Act that extends relief funds and deferment to consumers and small businesses. Traditional lending processes are not possible, lenders will have to adjust underwriting strategies and workflows as they deploy hardship programs while complying with the Act. From a utilization perspective, lenders need to look for near-term trends on payments, balances and skipped payments. From an extension standpoint, they should review limits extended or reduced by other lenders. Critical trends to look for would be missed or late auto payments, non-traditional credit shopping and rental payment delinquencies.

Q: What should lenders be doing to plan for an uptick in delinquencies?

SL: First, lenders should make sure they have a complete picture of how credit risk and losses are evolving, as well as any changes to their consumers’ affordability status. This will allow a pointed refinement of their customer management strategies (I.e. payment holidays, changing customer to cheaper product, offering additional services, re-pricing, term amendment and forbearance management.)

Second, given the increased stress on collection processes and regulations guidelines, they should ensure proper and prepared staffing to handle increased call volumes and that agency outsourcing and automation is enabled. Additionally, lenders should migrate to self-service and interactive communication channels whenever possible while adopting new segmentation schemas/scores/attributes based on fresh data triggers to queue lower risk accounts entering collections.

Q: How can lenders best help their customers?

SL: Lenders should understand customers’ profiles with vulnerability and affordability metrics allowing changes in both treatment and payment. Payment Holidays are common in credit card management, consider offering payment freezes on different types of credit like mortgage and secured loans, as well as short term workout programs with lower interest rates and fee suppression. Additionally, lenders should offer self-service and FAQ portals with information about programs that can help customers in times of need.

BC: Lenders can help by complying with aspects of the CARES Act guidance; they must understand how to deploy payment relief and hardship programs effectively and efficiently. Data integrity and accuracy of loan reporting will be critical. Financial institutions should adjust their collection and risk strategies and processes. Additionally, lenders must determine a way to address the unbanked population with relief checks.

We understand how challenging it is to navigate the changing economic tides and will continue to offer support to both businesses and consumers alike. Our advanced data and analytics can help you refine your lending processes and better understand regulatory changes.

Learn more

About Our Experts:

Shannon Lois, Head of DA Analytics and Consulting, Experian Data Analytics, North America

Shannon and her team of analysts, scientists, credit, fraud and marketing risk management experts provide results-driven consulting services and state-of-the-art advanced analytics, science and data products to clients in a wide range of businesses, including banking, auto, credit, utility, marketing and finance. Shannon has been a presenter at many credit scoring and risk management conferences and is currently leading the Experian Decision Analytics advisory board.

Bryan Collins, Senior Product Manager, Experian Consumer Information Services, North America

Bryan is a member of Experian’s CIS product management team, focusing on the Acquisitions suite and our evolving Ascend Identity Services Platform. With more than 20 years of experience in the financial services and credit industries, Bryan has established strong partnerships and a thorough understanding of client needs. He was instrumental in the launch of CIS’s segmentation suite and led product management for lender and credit-related initiatives in Auto. Prior to joining Experian, Bryan held marketing and consumer experience roles in consumer finance, business lending and card services.

Related Posts

Building for Bots in the AI Age: Separating Legitimate Agents From Fraudsters

See how NeuroID helps businesses distinguish legitimate AI agents from fraud bots, while Agent Trust verifies agent-initiated transactions.

October 29, 2026 by Laura Burrows
2026 Retail Banking Identity and Fraud Report 

Learn how banks can convert rising fraud investment into protection customers recognize, value and feel in our recent report. Read more!

October 28, 2026 by Laura Burrows
One Platform, Fewer Handoffs, Faster Decisions

The average credit union manages between 100-300 vendor relationships, and nearly a third have no dedicated staff managing them. What was supposed to drive efficiency is stunting growth and compromising the member experience. Application volume is continuing to rise, and consumers expect a loan decision at digital speed. But for credit unions, meeting that expectation isn't the only goal. They must also continue to make the right lending decisions while also prioritizing risk management. The institutions pulling ahead aren't the ones with the most tools. They're the ones that have turned credit, fraud and decisioning into a single, coordinated system. A single loan decision touches: Credit data Identity verification Fraud signals Decisioning logic Reporting Rarely does all of that live in one place. More often, it’s stitched together across separate platforms, each with its own contract and its own support line. When a credit view and a fraud view are generated separately, they must be reconciled instead of read together in the same instant. Every handoff is a place where a decision slows down and a signal gets missed. It's why a fraud pattern that would be obvious next to the credit file often surfaces only after the funds are already gone. Fragmentation also makes it harder to optimize lending strategies over time. When data, analytics and decisioning are disconnected, credit unions have less visibility into what's working, what's changing and where strategies need to be adjusted. An integrated decisioning ecosystem closes those seams by design, with credit, fraud and lending strategy running on one platform and accessed through a single Application Programming Interface (API). Identity and compliance capabilities can be an integrated decisioning flow. The data doesn't need to be reconciled after the fact because it was never separated in the first place. Stop overengineering, start removing friction When decisioning underperforms, the instinct is to build something more custom: a proprietary model, tighter segmentation, more configuration.  Custom modeling has its place for institutions with the scale and data to justify it. But often, for small or mid-sized credit unions, the bigger opportunity is a flexible decisioning strategy that uses a strong, continuously refreshed model. This shouldn't be either/or. The right approach gives credit unions a strong decisioning strategy today, with the ability to introduce more customized analytics and modeling as their needs evolve.  The same principle applies to strategy management: credit unions can gain greater control through self-service capabilities as they build a more sophisticated data science team.   That kind of flexibility is important as credit unions modernize their decisioning infrastructure. Research surveying more than 2,000 senior credit risk and fraud decision-makers across 11 countries found that organizations investing in unified platforms and modern infrastructure are moving faster and realizing the greatest Return on Investment (ROI).   As their needs evolve, credit unions can adjust decisioning strategies without introducing another layer of technology or relying on third parties to make every change. Until self-service is the right fit, choose a partner that understands what makes your credit union’s membership and risk appetite different from others.  Same member, same afternoon, faster answer Consider a credit union growing its auto and personal loan originations.  A member applies for an auto loan on Saturday afternoon. Credit data, identity and fraud signals are read together in a single real-time pass instead of separate reviews:  Most applications resolve immediately, approved or declined based on a more comprehensive view of the applicant. A smaller number are flagged for quick step-up verification and cleared within minutes. Only genuinely ambiguous cases reach an underwriter, who is working from one complete picture instead of reconciling multiple signals. The member has an answer before the weekend is over. The credit union books the loan before competitors even open on Monday. Built to scale This kind of process holds up today. However, the better test is whether it holds up eighteen months from now when application volume has grown, new products are live and the data flowing through the system looks nothing like it does right now. Future-proofing isn't only about handling more volume. It's about having room to be nimbler and make adjustments as quickly as the market changes. A credit union that relies on standard models within a decisioning strategy may want more customized analytics and greater control over its strategies tomorrow. Connect with us With more than three decades of credit expertise and one of the industry's largest data footprints, Experian helps credit unions do more than solve this year's friction. We're helping to build a decisioning foundation that scales, so growth becomes something the system absorbs, rather than something it must be rebuilt around. Explore More

October 21, 2026 by Zohreen Ismail

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe