For the last few years, AI in banking has mostly meant AI that recommends. A model flags a suspicious transaction, scores a credit application, or suggests the next best product, and a human banker still presses the button. That line Read More …
Tag: Banking Risk Management
Agentic AI in Banking: Who Is Accountable When AI Takes Action?
Expected Credit Loss Data Gaps Banks Must Address for Accurate ECL
Expected Credit Loss (ECL) frameworks have become a cornerstone of modern banking risk management, especially under IFRS 9 and similar accounting standards. ECL is designed to quantify potential losses on loans and credit exposures before they actually materialize. While much Read More …
RBI Mythos AI Cybersecurity Advisory: Risk Team Checklist for Indian Banks
Artificial intelligence adoption in Indian banks is growing rapidly, enabling efficiencies in customer onboarding, credit assessment, fraud detection, and operational decision-making. However, these AI systems introduce new cybersecurity and operational risks. Recognizing this, the Reserve Bank of India released the Read More …
Reserve Bank of India (RBI) Releases Financial Stability Report, June 2026
RBI released the June 2026 edition of its Financial Stability Report (FSR) on June 30, 2026. The report finds India’s financial system resilient and well capitalised, with bank gross NPAs at a multi decadal low of 1.8%, strong capital buffers Read More …
Top 10 KYC/AML Failures in Indian Banks: Risks, Impacts and How to Avoid Them
The top 10 KYC and AML failures in Indian banks are outdated or overdue periodic KYC updation, weak transaction monitoring, non-issuance of Unique Customer Identification Codes, incorrect customer risk categorisation, fragmented legacy compliance systems, weak Video-KYC and digital onboarding controls, Read More …
AI tools help banks adopt smarter credit risk management
Banks are increasingly turning to Artificial Intelligence (AI) to strengthen credit risk management by improving how they identify, analyse and mitigate potential defaults and portfolio losses, according to an analysis in The Financial Express. AI‑based credit risk models can process Read More …
Banks Urged to Balance Growth with Strong Risk Management Amid Fintech Competition
Banks must pursue growth cautiously while strengthening their risk management frameworks, as competition from fintech firms continues to intensify, experts said at a recent industry interaction in Telangana. Speakers stressed that while digital innovation has expanded access to financial services, Read More …
Online Certificate Course in Liquidity and Interest Rate Risk in Banking
Liquidity & interest rate risk are top concerns for banks, NBFCs, and regulators in today’s volatile environment. This 9-hour online certificate course, offered by Smart Online Course with Risk Management Association of India (RMAI), dives deep into managing LCR (Liquidity Coverage Read More …
Market Risk Management in Banking: VaR & Stress Testing
Market risk refers to the risk of losses incurred due to fluctuations in market variables such as interest rates, foreign exchange rates, equity prices or commodity values. It is a central concern for banks and financial institutions. Effective Market Risk Read More …
Ethos Secures $6M to Modernize Model Risk Management for Banks and Fintechs
Ethos, a modern model risk management platform, has raised $6 million in seed funding to help financial institutions and fintechs manage model risk with confidence. The funding round was led by Canapi Ventures, with participation from Capital One Ventures and Read More …