This course covers Transaction Pattern Anomalies, which involve assessing unusual, unexpected, or inconsistent transaction behaviors within borrower accounts to identify emerging credit risks, operational concerns, or potential deterioration in financial health within Credit Monitoring & Portfolio Surveillance workflows. It focuses on analyzing transaction flows, account activity, cash movements, payment behavior, utilization patterns, and deviations from established behavioral trends that may indicate stress, liquidity challenges, or heightened credit risk. The course examines how anomaly detection supports early identification of borrower distress, operational irregularities, account misuse, and evolving portfolio vulnerabilities, enabling timely intervention and proactive portfolio risk management. It evaluates key dimensions such as control lapses, early warning signal identification, risk trend analysis, and proactive portfolio risk management, with each requiring independent validation and documented rationale before any credit action is finalized. Particular emphasis is placed on transaction monitoring, behavioral trend analysis, exception identification, account activity surveillance, and governance oversight of unusual account conduct. It is distinct from broader credit management processes, as it focuses specifically on the structured identification and assessment of anomalous transaction patterns for risk detection and breach response purposes, rather than broader portfolio strategy, credit administration, or account management activities. Within Account-Level Performance Monitoring, the senior credit leader sets portfolio limits, governs exception criteria, and drives strategic alignment across the Credit Monitoring & Portfolio Surveillance function, shaping escalation scope, risk priorities, and portfolio management decisions through effective monitoring of transaction pattern anomalies and emerging account-level risk indicators.