Credit Delivery
Chapter notes, video classes, MCQ practice tests and quick-revision one-liners for Advanced Bank Management — CAIIB.
One-liners from this chapter
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What is Straight-Through Processing (STP) in the context of retail loan applications?
STP is an automated credit processing system where retail loan applications below a defined threshold (e.g., Rs 25 lakh) are evaluated and decided by credit underwriting engines using bureau scores and rule engines without manual intervention.
What does RBI permit regarding the use of Straight-Through Processing (STP) in retail credit delivery?
RBI permits STP under specified governance frameworks, requiring model validation, audit trails, and override mechanisms.
What is model risk in Straight-Through Processing for retail loans?
Model risk is the risk that incorrect or biased credit underwriting models may lead to systematic mis-lending, where creditworthy borrowers are rejected or unworthy ones are approved due to flawed algorithms or assumptions.
What is an override workflow in STP-based credit underwriting?
A process that allows human reviewers to manually assess and override automated credit decisions in edge cases.
What is data integrity risk in an STP-based credit underwriting system?
Data integrity risk refers to the possibility of incorrect or erroneous bureau data pulls being fed into automated decision engines, leading to inaccurate credit decisions at scale.
What is meant by 'human-in-the-loop' in the context of STP credit delivery?
A control mechanism where human reviewers are involved in automated credit decisions, specifically for declines and appeals.
How do banks mitigate model risk in Straight-Through Processing credit systems?
Banks mitigate model risk through periodic model validation, back-testing of past decisions against actual outcomes, manual review of edge cases, and maintaining detailed audit trails of automated decisions.
What is the role of an independent team in STP-based credit underwriting model management?
An independent team conducts model validation to ensure the credit model performs accurately and is not biased.
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