#!/usr/bin/env python3 """ 40.10.2 Financial Services (SOX + Model Risk Management) Source: Chapter_40_Compliance_and_Standards Category: compliance """ import argparse import sys class FinancialModelGovernance: """ Implements SR 11-7 Model Risk Management for AI/ML models used in financial decision-making. """ def __init__(self, model_id: str): self.model_id = model_id self.validation_results = {} def validate_model_documentation(self) -> bool: """ SR 11-7 requires: - Model purpose and business use - Model methodology and limitations - Model validation procedures - Model monitoring procedures """ required_docs = [ "model_purpose.md", "methodology.md", "validation_plan.md", "monitoring_plan.md", "model_card.json" ] # Check documentation exists return True # Simplified for example def perform_backtesting(self, predictions: List, actuals: List) -> Dict: """ Compare model predictions vs actual outcomes. Required for credit scoring, fraud detection models. """ if len(predictions) != len(actuals): raise ValueError("Mismatched prediction/actual lengths") accuracy = sum(p == a for p, a in zip(predictions, actuals)) / len(predictions) return { "backtest_period": "Q4 2024", "sample_size": len(predictions), "accuracy": accuracy, "compliant": accuracy >= 0.85 # Threshold per policy } def adverse_action_notice_check(self, decision: str, explanation: str) -> bool: """ Fair Credit Reporting Act (FCRA) compliance. If model denies credit, must provide specific adverse action reasons. """ if decision == "deny": # Explanation must be specific, not "AI said no" vague_phrases = ["algorithm", "model", "system", "AI"] return not any(phrase in explanation.lower() for phrase in vague_phrases) return True def main(): """Command-line interface.""" parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("--verbose", "-v", action="store_true", help="Verbose output") args = parser.parse_args() # TODO: Add main execution logic pass if __name__ == "__main__": main()