Risk Management Association of India
Global body dedicated to education, research and development on Risk Management
In normal circumstances, underwriting risk in insurance is transferred to a primary insurer, who, beyond a certain limit, transfers it to a reinsurer. But there is another option that facilitates entering the capital market. The term used is known as Read More …
On 31 July 2026, the Reserve Bank of India issued the Reserve Bank of India (Commercial Banks – Cybersecurity, Technology: Risk, Resilience and Assurance Framework) Directions, 2026, replacing the existing patchwork of cybersecurity instructions with a single framework. This is 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 …
Floods in one state, cyclones battering a coastline, a heatwave disrupting crop yields hundreds of kilometres away, disaster risk in credit appraisal is no longer a theoretical exercise for Indian banks and NBFCs. It is a live underwriting concern that Read More …
The Risk Management Association of India (RMAI) successfully conducted a three-day Enterprise Risk Management (ERM) Training Programme for Druk Holding & Investments Limited (DHI) and its portfolio companies from 22 to 24 July 2026 in Bhutan. The programme brought together 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 …
Every monsoon, cyclone season, and heatwave now carries a credit implication. A borrower who was “standard” in March can be under severe financial stress by August, not because their business model failed, but because a flood took out their inventory, 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 …