Regulatory Reporting Simulator (FR Y-9C & Capital Adequacy Dashboard)

Overview

The Regulatory Reporting Simulator is designed to replicate key components of U.S. banking regulatory reporting processes, including FR Y-9C schedules and capital adequacy checks. This solution provides an automated and controlled environment for validating, reconciling, and analyzing financial data in alignment with regulatory governance standards.

The simulator demonstrates the application of sound data controls, end-to-end reconciliation, and robust reporting logic expected by major financial institutions and regulators.

---

Key Features

• Automated Data Validation
  Implements configurable validation rules to ensure accuracy, completeness, and compliance with reporting requirements.

• Reconciliation Controls
  Detects and reports mismatches between source data and aggregated schedules to strengthen data integrity.

• Capital Adequacy Calculation
  Calculates Risk-Weighted Assets (RWA), Tier 1 Capital Ratios, and Leverage Ratios in line with regulatory frameworks (Basel III and U.S. capital rules).

• Interactive Dashboard
  A Power BI dashboard for visualizing:

  • Capital Ratios
  • Risk-Weighted Assets
  • Reporting Exceptions
  • Validation & Reconciliation Results

• Audit & Governance Alignment
  Built with strong control points, error logging, and audit-ready reports to support internal and external reviews.

---

Technology Stack

• Python: For data processing, validations, and reconciliation logic.
• SQL: For structured data management and integrity checks.
• Power BI: For advanced visualization and reporting insights.
• Pandas & NumPy: For ETL and data transformation.
• Matplotlib/Seaborn: For additional analytics and charting.

---

Use Cases

• Simulate the FR Y-9C reporting process for bank holding companies.
• Validate capital adequacy compliance and stress scenarios.
• Demonstrate internal control effectiveness in financial reporting.
• Serve as a training and POC framework for regulatory reporting automation.

---

Governance & Control Principles

• Data Lineage: Ensures traceability of source data to reported figures.
• Validation Rules: Enforces thresholds and logical checks for accuracy.
• Reconciliation Framework: Aligns with SOX and Basel governance standards.
• Audit Logging: Maintains logs for regulatory and internal audits.

---

Future Scope

• Integration with realistic synthetic transaction datasets.
• Advanced stress testing scenarios and CCAR simulations.
• Role-based access and control workflows.

---