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Company focus

Bajaj Finserv
Product Trade-Off Medium Member-only

Should every Bajaj Finance Insta Personal Loan disbursal require a step-up fraud check, even if it slows approval?

Prepared by NextSprints

13 mins
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Trade-Off Analysis Risk Assessment Experiment Design Fintech Consumer Lending Trade-Off Digital-Lending Personal-Loans Fraud-Prevention
Product Management Product Trade-Off Question: Instant personal loan speed vs fraud verification

Introduction

Bajaj Finance's Insta Personal Loan lets pre-approved customers get money in their bank account within minutes, often without new documents. Speed is the product: a customer facing a medical bill or a wedding expense does not want to wait days. But instant digital lending is also a magnet for fraud, including account takeover, SIM-swap attacks, and mule accounts set up to receive loan proceeds.

The prompt: the fraud team proposes adding a mandatory step-up check (a selfie liveness check plus a bank account ownership verification) before every Insta Personal Loan disbursal. It would cut fraud but add 2–4 minutes and some drop-off. Should we do it? This is a classic lending PM trade-off, and interviewers use it to see whether a candidate can weigh revenue, losses, and customer harm in one frame rather than siding with whichever team spoke last.

Analysis Approach

Clarify, classify the trade-off, understand the product, form a hypothesis, choose metrics, design the experiment, plan analysis, set a decision framework, and recommend.

Step 1

Clarifying Questions (3 minutes)

  • Context: How big is the fraud problem today?

Why it matters: We need to size the benefit. Expected answer: Fraud losses on Insta Personal Loans are small as a share of disbursals but have tripled in a year, mostly from account takeover. Impact on approach: Growing, concentrated threat.

  • Business: What is the expected conversion cost?

Expected answer: The fraud team estimates 6–10% drop-off at the new step, based on similar checks elsewhere. Impact on approach: Large revenue risk if applied to everyone.

  • User impact: Which customers are most affected?

Expected answer: Older customers and users on low-end phones struggle with liveness checks.

  • Technical: Do we already have risk signals at the session level?

Expected answer: Yes: device fingerprint, SIM change date, login location, bank account change history. Impact on approach: A risk-based approach is feasible.

  • Regulatory: Any requirement?

Expected answer: RBI expects robust fraud risk management and disbursal only to the borrower's own account; no specific mandate for selfie checks.

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Updated Oct 31, 2026