Risk Management Association of India
Global body dedicated to education, research and development on Risk Management
The RBI regularly issues directions, circulars, frameworks and regulatory guidance covering the major risks faced by banks and financial institutions. These regulatory documents influence several important areas of banking operations, including: Credit appraisal and monitoring Loan classification and provisioning Capital Read More …
On August 6, 2026, the Reserve Bank of India issued nine separate circulars in a single day, each amending the Responsible Business Conduct framework for a different category of regulated lender, from commercial banks and small finance banks to NBFCs Read More …
The assessment of credit risk is undergoing a significant transformation as financial institutions increasingly recognise the importance of social and governance factors in predicting borrower default risk. Traditionally, credit assessment models have focused primarily on financial indicators such as income, Read More …
Concentration risk management has moved from being a routine prudential check to one of the most actively regulated areas of Indian banking and NBFC supervision. Over the past year, the Reserve Bank of India has substantially reworked the rules governing Read More …
The United Nations Environment Programme Finance Initiative (UNEP FI) has developed a new framework to help banks integrate sustainability-related risks into their core risk management systems. The framework is designed to support financial institutions in identifying, assessing and managing environmental, Read More …
For years, climate risk management inside Indian banks and financial institutions revolved around one thing: disclosure. Institutions built ESG reports, published sustainability statements, and mapped their exposure to climate policies largely to satisfy regulators, investors and rating agencies. That phase Read More …
Indian banks are moving away from the incurred loss model and adopting ECL based provisioning, a forward looking approach to recognising credit losses on financial instruments. This shift, anchored in Chapter III of the new provisioning framework, changes not just Read More …
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 …
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 …
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 …