# Credit Risk & Underwriting

Underwriting is where Indian fintech makes or loses money. The lenders who underwrite well grow their books; the lenders who don't, discover too late that they've scaled the wrong borrowers. The difference is almost never product design — it's the quality of the signals feeding the decision and the engineering of the decisioning stack that consumes them.

Modern credit underwriting in India blends traditional bureau data (CIBIL, Equifax, Experian, CRIF) with cash flow lending signals (bank statements, UPI history, Account Aggregator feeds), employment and income verification, and an expanding set of alternative signals (device, behavioral, location). The strongest underwriting approaches don't pick one over another — they layer them, weighted by borrower type and loan purpose.

Deepvue's infrastructure covers the full underwriting data stack: credit bureau APIs for bureau pulls, Account Aggregator + bank statement analysis for cash flow signals, EPF and employment verification for income signals, and proprietary score APIs for alternative credit assessment. Lenders build their scoring models on top; we handle the data access and verification.

This hub covers how each layer of the modern underwriting stack works — bureau, cash flow, employment, alternative — and how lenders combine them for MSME, retail, BNPL, and commercial lending products.

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Source: https://deepvue.ai/topics/credit-underwriting/