Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

Banking Transformed with Jim Marous

Leveraging data to personalize the lending experience

10 Jun 2024

Description

Delivering a seamless digital lending experience in banking requires a delicate balance between streamlining processes, leveraging data for personalization, and maintaining robust fraud prevention measures. In this episode of the Banking Transformed podcast, I sit down with Amber Isaku, VP of Lending at A+ Federal Credit Union, at the MeridianLink LIVE event in Nashville, Tennessee. The conversation delves into the credit union's journey to digitize and personalize the lending experience for its members while maintaining a human touch in an increasingly digital landscape. Amber also highlights the credit union's efforts to democratize data access across various departments enabling employees across the organization to make data-driven decisions and deliver tailored experiences. This episode of Banking Transformed Solutions is sponsored by MeridianLink MeridianLink® (NYSE: MLNK) powers digital lending and account opening for financial institutions and provides data verification solutions for consumer reporting agencies. MeridianLink’s scalable, cloud-based platforms help customers build deeper relationships with consumers through data-driven, personalized experiences across the entire lending life cycle. MeridianLink enables customers to accelerate revenue growth, reduce risk, and exceed consumer expectations through seamless digital experiences. Its partner marketplace supports hundreds of integrations for tailored innovation. For more than 20 years, MeridianLink has prioritized the democratization of lending for consumers, businesses, and communities. Learn more at meridianlink.com.

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.