Most lenders steer clear of first-time borrowers. There is no repayment record, bureau file, or history against which to underwrite them. The usual answer is an outright decline or, at best, a secured product requiring collateral the borrower probably lacks. This preserves clean paper default rates, but leaves a sizable group of potentially creditworthy people without service.
A more useful view is that first-time borrowers are not automatically high risk. Rather, the usual mechanism for identifying risk does not work for them. That is a separate problem, requiring a separate solution.
The Reality of First-Time Borrowers
Brazil's first-time borrower population is varied. It covers young adults entering the formal economy, informal workers who have never had a bank account, recent migrants who lack established local financial ties, and people seeking formal credit for a specific need for the first time. Their risk profiles differ, as does the alternative signal data available for each group.
They have one thing in common: no bureau record, but plenty of behavioral evidence. Every first-time borrower has managed money in some way, whether paying for mobile service and utilities or sending and receiving money through informal channels. Their financial discipline in those settings is precisely the type of evidence alternative scoring is built to interpret.
Calling first-time borrowers high risk confuses categories. They are unknown through the conventional channel, not necessarily risky. The implication is that lenders need another perspective.
Signals of First-Time Borrower Performance
In early-access work with partner lenders, we have seen which alternative signals matter most for people with no bureau history. Regular mobile recharges are especially informative. Someone who has topped up a prepaid SIM on schedule for 18 months, keeping service active without long gaps, shows a payment habit that can carry over to loan repayment. In both cases, funds are committed on a schedule to preserve access to a service.
Regular utility payments, especially electricity, are another strong indicator for this group. Electricity reaches nearly everyone in Brazil, so most borrowers have such a record even when they lack other financial data. Paying an electricity bill on time for two years shows more repayment discipline than an empty bureau file reveals.
Geolocation stability, or consistency in home and work locations across a 90-day window, is associated with the life stability that supports repayment. Someone showing a steady home address and routine commute is less likely to vanish or become unreachable than someone with very irregular location patterns.
No single signal proves anything by itself. The model applies suitable weights, then produces a confidence band based on the amount of available evidence. Strong signals across several dimensions produce a high-confidence score, while incomplete coverage produces a lower-confidence result. Adjudication should distinguish between those cases.
Designing the First Loan
A first loan should control risk while beginning the customer relationship. The normal design uses a smaller amount, a shorter term, and pricing that accounts for uncertainty in the assessment. The first loan is not primarily for maximizing revenue. It creates an observable repayment event that can sharpen the risk estimate.
Simplicity is valuable in products for this segment. These borrowers are using formal credit for the first time, so variable rates, penalties, and rollover choices can confuse them and cause accidental delinquency. A fixed-payment installment loan with a clear schedule fits the group. It also clarifies adverse action: when a borrower does not qualify, the lender can state the reason without explaining complicated product features.
Disbursement also makes a difference. In Brazil, Pix increasingly gives lenders access to first-time borrowers while reducing friction in both disbursement and collection. A lender able to send funds through Pix and collect by automatic Pix debit has a major operating advantage over one requiring a bank account or branch visit for either step.
Managing First-Time Borrower Relationships
After approval and disbursement, relationship management becomes more important than it is with experienced borrowers. New borrowers may not understand formal credit expectations, including that a five-day delay can be reported or that a missed payment can have lasting effects. Reminders before the due date lower delinquency without intruding. An SMS or push message three days before payment is due costs almost nothing and can materially improve on-time rates.
Loan-cycle data from first-time borrowers has substantial value. Repayment behavior is the strongest alternative signal available because it directly demonstrates financial commitment in a lending setting. Clean repayment materially changes the borrower's risk profile from the initial assessment. A second offer should incorporate that new information.
The Risk Limits of Better Scoring
Better scoring reduces, but does not remove, uncertainty for first-time borrowers. Defaults will occur, and lenders must account for them. The key test is whether defaults among alternatively scored first-time approvals remain acceptable given pricing and expected customer lifetime value. Only actual approval data can answer that, not projections.
Lenders entering this segment should begin with a pilot that produces calibration data. Approve a small cohort, observe 90-day repayment behavior, and revise score thresholds from actual outcomes before expanding. This is the responsible way to establish the program and the economically sensible one: a well-designed pilot costs much less than finding miscalibrated thresholds after full-scale rollout.
The lenders gaining the most from first-time borrowers will treat them as a distinct product challenge, not as a variation on standard underwriting. The segment calls for different signals, product designs, and relationship practices. Lenders that build around those needs can turn "first-time" into "loyal customer" sooner than anticipated.