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Listen "Nomis' Prashant Balepur on bringing data science to bank pricing strategies"
Episode Synopsis
Welcome to the Tearsheet Podcast. I’m Zack Miller.
Before COVID-19 hit, we spent a lot of time talking about the competitive environment for bank deposits. Every week, an incumbent or new challenger bank was making high rate offers in order to attract new customers. The dynamic may be different now, but financial institutions are getting increasingly savvy about their pricing strategies. Borrowing from retail, we are moving away from one-price-fits-all into a more data-driven and competitive market.
Joining us on the podcast today is Nomis’ Prashant Balepur. We talk about the firm’s new product, a lightweight tool which provides banks and credit unions real time pricing intelligence around mortgages and deposits. Prashant describes how many FIs make pricing decisions today and what type of data science it takes to optimize products across sectors, geographies and customers.
Prashant Balepur is my guest today on the Tearsheet Podcast.
Before COVID-19 hit, we spent a lot of time talking about the competitive environment for bank deposits. Every week, an incumbent or new challenger bank was making high rate offers in order to attract new customers. The dynamic may be different now, but financial institutions are getting increasingly savvy about their pricing strategies. Borrowing from retail, we are moving away from one-price-fits-all into a more data-driven and competitive market.
Joining us on the podcast today is Nomis’ Prashant Balepur. We talk about the firm’s new product, a lightweight tool which provides banks and credit unions real time pricing intelligence around mortgages and deposits. Prashant describes how many FIs make pricing decisions today and what type of data science it takes to optimize products across sectors, geographies and customers.
Prashant Balepur is my guest today on the Tearsheet Podcast.
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