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Technology Risk and Information Security: Principles, Governance, and Protection

In today’s digital-first world, technology risk has become a critical concern for every organization. The growing dependence on information systems, connectivity, and data-driven decision-making brings immense opportunities—but also exposes enterprises to cyber threats, data breaches, and systemic vulnerabilities. Information security (InfoSec) forms the backbone of managing technology risk and ensuring resilience against the ever-changing threat…

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Operational Risk in Practice: RCSA and KRIs Done Right

Operational risk teams rely on two cornerstone tools to keep processes safe and compliant: Risk and Control Self-Assessment (RCSA) and Key Risk Indicators (KRIs). Together, they identify where things can go wrong, evaluate whether controls are working, and track early warning signals against clear risk appetite thresholds. The result is sharper visibility, faster escalation, and…

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Operational Risk Loss Data: A Practical Guide to Collection, Standards, and Root-Cause Analysis

Introduction Operational risk loss data forms the foundation of a strong risk management framework. When collected and analyzed effectively, it transforms isolated incidents into enterprise-wide insights—supporting governance, capital planning, and stronger internal controls. By combining internal incident histories with external industry data, organizations can better address rare but severe risks, benchmark performance, and refine scenario…

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Understanding Operational Risk: Developments, Frameworks, and Strategic Approaches

Operational risk has become a central concern for financial institutions worldwide. Unlike credit or market risk, it is not confined to a specific category of transactions but permeates all organizational functions. Driven by emerging technologies, growing complexity in financial systems, and stricter regulatory expectations, operational risk demands a structured and strategic approach. Developments Giving Rise…

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Value at Risk (VaR) Demystified: Methods, Assumptions, EVT, Stress Tests, and Back Testing

Overview and intentValue at Risk (VaR) estimates the maximum expected loss over a specified horizon at a chosen confidence level, giving a single, comparable summary of market risk across portfolios and desks. It answers: over horizon T, with confidence level p, what is the worst loss not exceeded under normal conditions. It is widely used…

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