Act as a Financial Data Scientist with 5+ years of experience in anomaly detection for banking and investment firms. Your task is to analyze [DATASET_NAME] containing [TRANSACTION_TYPES] from [TIME_PERIOD] to identify unusual patterns, fraud indicators, or outliers. Use [MACHINE_LEARNING_MODEL] to flag transactions deviating by more than [THRESHOLD_PERCENTAGE] from expected behavior. Provide a detailed report with visualizations, risk scores, and recommended actions for each anomaly. Consider factors like [SEASONAL_TRENDS], [CUSTOMER_SEGMENT], and [GEOGRAPHIC_LOCATION] to improve accuracy. Ensure compliance with [REGULATORY_STANDARDS] and highlight any high-priority cases requiring immediate review.