Broker-Dealer
Reporting Modernization
Modernized regulatory reporting infrastructure for a mid-size broker-dealer
Problem
A mid-size broker-dealer was struggling with legacy reporting systems that required significant manual effort to compile regulatory reports. The process was error-prone, time-consuming, and created compliance risk. Key challenges included:
- Manual data extraction and reconciliation across multiple systems
- Inconsistent data quality and validation
- Limited audit trails for compliance purposes
- Difficulty meeting reporting deadlines
- High operational risk from manual processes
Constraints
- • FINRA and SEC regulatory requirements for reporting accuracy and timeliness
- • Data sensitivity and client confidentiality requirements
- • Zero tolerance for operational disruption during implementation
- • Integration with existing trade and account management systems
Approach
We designed and implemented an automated reporting pipeline with the following components:
Data Integration
Automated data extraction and reconciliation from source systems with validation and exception handling.
Reporting Engine
Automated report generation with templates aligned to regulatory requirements.
Audit Trails
Comprehensive logging of all data operations and report generation for compliance.
Quality Controls
Automated validation rules and exception alerts to ensure report accuracy.
Outcomes
- ✓ Significant reduction in manual effort for report compilation
- ✓ Improved report accuracy with automated validation
- ✓ Enhanced compliance posture with comprehensive audit trails
- ✓ Faster report generation enabling earlier submission
- ✓ Reduced operational risk from manual processes
Tech Stack
Microsoft Fabric Power BI Azure Data Factory SQL Server Python