Terry Badger
Nov 17, 2020

What are the challenges of extreme tail events and how does going through COVID-19 help improve future risk modeling? Two experts in credit risk analysis at Moody’s Analytics share their insights on this week's podcast.

Whether it’s through the use of chatbots and predictive analytics, or taking compliance and fraud fighting to the next level, artificial intelligence promises to change every aspect of banking like nothing else before it.

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The oft-debated topic of branches often begs for clarity–so where to start looking? The area of data analytics holds a crucial key, as it can inform a host of decisions from staffing levels to taking care of customers in peerless ways.

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While the home equity loan market is picking up, so too is the pipeline backing up for stuck applications waiting to be processed.

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Like never before, data analytics can unlock the secrets of customer loyalty through what was once considered a soft, non-specific metric: emotional motivations for doing business.

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Banks concerned with bolstering their bottom line need to examine the ROI that comes from creating peerless incentive packages.

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As though today’s banking industry hurdles aren’t enough, community banks are fighting to keep their customers happy in an era of high-stakes high tech and increasing competition for all corners.

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Though regulation technology might be seen as just another fintech subset, it’s anything but.

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When banks interact with female business owners, they must bring more to the table than cookie-cutter solutions as these clients face particular challenges—and have particular wants—that set them apart.

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Community and mutual banks that have survived consolidation and attrition have found that meaningful local involvement extends beyond setting up a table at a summer festival.

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Before hedge funds decide which banks to invest in, they compile questions—lots of them—that reveal a 360-degree view of the financial institution from management, monetary and credit strength angles.

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