Upstart Launches First Digital Lending Platform In Spanish
Upstart (NASDAQ: UPST) has launched its personal loan platform in Spanish, becoming the first online lender to offer full support for Spanish speakers in the U.S. With over 63 million Hispanic Americans, this move addresses a significant demographic. Upstart aims to enhance financial inclusion by providing an end-to-end lending experience in Spanish. Historically, their AI model has approved 27.2% more Hispanic borrowers compared to traditional models, with 10.5% lower interest rates. Currently, Spanish loans are available through Cross River Bank, with plans for additional partners.
- Launch of Spanish-language personal loan platform addresses the needs of over 63 million Hispanic Americans.
- Increased inclusivity expected to improve access to affordable credit for Spanish speakers.
- Historical data shows Upstart's AI model approved 27.2% more Hispanic borrowers at 10.5% lower interest rates compared to traditional models.
- None.
“Taking out a loan is an important decision and consumers deserve to be fully informed throughout the process,” said
More than 63 million Americans are of Hispanic origin, and more than 70 percent use Spanish as their preferred language at home, according to Instituto Cervantes 2020. Hispanics are also the primary driver of population growth in the
Upstart was founded to improve access to affordable credit while reducing the risk and costs of lending for its bank partners. In 2020, Upstart’s model approved
To access the Spanish-language version, visitors to Upstart.com can simply toggle the language option on the home page here, or go directly to Upstart.com/préstamos. If a visitor to the home page has the browser set to Spanish, it will default to the Spanish-language option. Upstart expects to provide a Spanish version of its auto loan product in the near future. Spanish-language loans are currently available through
About Upstart
1Upstart does not collect demographic data on borrowers. Upstart uses standard industry methodology to estimate borrower demographic status to conduct access to credit analysis comparing Upstart to traditional credit model outcomes.
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mike.nelson@upstart.com
Source: Upstart
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