Webinar
Webinar
Published August 11, 2025
Fintech Credit & Economic Trends Economic & Market InsightsAlthough the U.S. economy remains solid and has resisted a broader slowdown thus far in 2025, the outlook remains highly uncertain. In this environment, it is imperative for businesses to stay on top of the latest economic developments. Experian’s Chief Economist Joseph Mayans, Director of Fintech Gavin Harding and Head of Automotive Financial Insights Melinda Zabritski, will provide a look into:
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The latest Jobs Report casts doubt on the Fed’s (and many economists’) narrative that the labor market is on solid footing. New data now show that job creation is near stall speed and other areas of the economy are slowing as well. This data, combined with a growing view that the impact of tariffs on inflation will neither be as significant as first anticipated (though still meaningful) nor as persistent, is likely to lead the Fed to cut rates at their September meeting. Get the latest on these trends, plus our new Fed rate cut forecast in Joseph Mayans' latest Macro Moment, "Rate Cuts Incoming."
As temperatures rise across the U.S., so does the nation’s appetite for travel—and the Leisure & Hospitality sector is feeling the heat. In this week’s Commercial Pulse Report, we examine how soaring consumer demand intersects with evolving credit conditions for businesses in travel, lodging, and transportation.
Check out the full report to see how these trends could impact your strategy!
Financial institutions face numerous challenges when complying with model risk management regulations. Watch our Model Risk Management for Regulatory Excellence webinar and discover more from our experts Ankit Sinha and Masood Akhtar on how to:
As regulations continue to change, financial institutions must establish robust risk management practices and adopt technology that matches the scale and speed of compliance requirements.
Key priorities include:
Read our full report to learn more about the growing importance of monitoring, transparency, and automation in model risk management.