Assessing AI Risk Gaps: A Banking Risk Roadmap for the RBI June Deadline

access_time 2026-06-11T06:50:46.655Z face Smart Online Course Team
Assessing AI Risk Gaps: A Banking Risk Roadmap for the RBI June Deadline The intersection of artificial intelligence and banking operations has opened up incredible capabilities, from hyper-accurate credit scoring to automated fraud detection systems that flag anomalies in milliseconds. However, rap...

Liquidity Stress Testing & Macro Scenario Alignment for NBFCs

access_time 2026-06-10T06:37:10.117Z face Smart Online Course Team
Liquidity Stress Testing & Macro Scenario Alignment for NBFCs The structural vulnerability of Non-Banking Financial Companies (NBFCs) within the Indian financial ecosystem has become a focal point of intense regulatory scrutiny. Unlike traditional commercial banks that enjoy a stable base of retail ...

How to Align with RBI's MuleHunter AI Mandates

access_time 2026-06-04T13:38:39.33Z face Smart Online Course Team
How to Align with RBI's MuleHunter AI Mandates The Reserve Bank of India’s MuleHunter AI mandates require banks and financial institutions to implement advanced AI-driven fraud detection frameworks. These mandates aim to monitor, detect, and prevent complex fraudulent transactions using artificial i...

How to Build an AI Kosh Repository for Your Bank: Step-by-Step Guide

access_time 2026-06-03T12:52:59.085Z face Smart Online Course Team
How to Build an AI Kosh Repository for Your Bank: Step-by-Step Guide Artificial intelligence is rapidly transforming banking operations. From credit scoring and fraud detection to customer service and portfolio analytics, banks rely increasingly on AI-driven systems. As AI adoption expands, managing...

AI and Generative AI for Credit Risk Analysts: Skills Needed for 2026 Underwriting

access_time 2026-06-02T13:02:30.087Z face Smart Online Course Team
AI and Generative AI for Credit Risk Analysts: Skills Needed for 2026 Underwriting Credit underwriting is undergoing one of the most significant transformations in its history. For decades, credit analysts relied on financial statements, ratio analysis, industry reviews, management assessments, and ...