Using Alternative Data in the Buy Now Pay Later Industry

Mobilewalla was excited to partner with Fintech News Network to host one of its Fintech Fireside Asia webinars. Fintech News Network is a media organization best known in Asia for delivering top-notch local insights in the financial services space.

Presented on February 10, 2022, this webinar was a panel discussion with the industry's brightest financial services leaders including Atome Financial, Standard Chartered Bank and Pine Labs to discuss on the topic, "What's Next for the Buy Now, Pay Later Revolution?". We were joined by over 300 professionals from throughout the APAC region.

Missed the webinar? Access the recording here →

Fintechnews Singapore has broken down some interesting highlights of the webinar and discussed about some of the effective use of data in fintech to drive real-world business results.

(REPOST)

Harnessing data

BNPL players like Atome Financial are heavily reliant on data not just to offer a value proportion that both customers and merchants love, but also for credit decisioning and fraud.

At Mobilewalla, a provider of consumer data and intelligence solutions, more than a dozen of BNPL players now rely on the company’s data to assess customers’ default risk as well as in the debt collection process, said Anindya Datta, Founder, CEO, Chairman, Mobilewalla.

“We are providing predictive artifacts: data that are predictive of how likely somebody is going to default in a loan,” Anindya said. “We have found that across South Asia and Southeast Asia, the average value of handsets in a household is super indicative of how likely you are going to default in a loan.”

Other data and information including households characteristics and app engagement are also predictive of loan default likelihood, he said.

Using alternative data to help provide consumers with financing capabilities is particularly relevant in regions like South and Southeast Asia where credit footprints are limited.

Related Reading: Understand How Fintech Companies Use Third-Party Data to Prevent Fraud & Decrease Defaults

Read the original and full article from Fintech News

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