LATAM context
LATAM lending fintechs underwrite by analyzing an applicant's bank statements: recurring income, spending patterns, payments to other lenders, real transfers versus internal ones. It's the single most important decision in the credit model.
Concrete example
A fintech evaluates a $30,000 MXN loan application. It processes 6 months of the applicant's statements with finO$, identifies $35,000 MXN of net monthly income, a 22% debt-to-income ratio, and approves.
How it shows up on your bank statement
Bank statements are one of the main data sources for the analysis. What gets examined isn't the point-in-time balance but behavior across several months: income regularity, average balance, days in the red, returned payments for insufficient funds, and how concentrated revenue is among a handful of counterparties.
How does finO$ handle this?
finO$ is key to underwriting when the applicant hands over PDFs or when Open Finance doesn't apply. It detects internal transfers, other lenders, and true recurring income. See our lending use case.