Building Enterprise-Grade Regulatory Compliance Platforms 🏦
How we architected the App to achieve 80% reduction in reporting time and 65% improvement in data accuracy using React, Django, and Azure microservices.
Building Enterprise-Grade Regulatory Compliance Platforms 🏦
Regulatory compliance in financial services demands precision, auditability, and scalability. Here's how we built System to transform compliance workflows.
The Challenge
Financial institutions face fragmented data sources, manual validation processes, and rapidly evolving regulatory requirements across multiple jurisdictions.
Our Architecture
We designed a microservices-based platform using:
- Frontend: React.js with TypeScript and Redux Toolkit
- Backend: Django REST Framework with PostgreSQL
- Data Pipeline: MageAI and DuckDB for ETL operations
- Infrastructure: Azure with Docker containerization
Key Technical Decisions
1. Monorepo Structure
Using pnpm workspaces allowed us to share code between frontend and backend while maintaining clear separation of concerns.
2. Real-Time Validation Engine
Built a rule-based validation system that processes regulatory checks in real-time, reducing manual review time by 80%.
3. Automated Workflow Orchestration
Implemented configurable approval workflows that adapt to different regulatory frameworks without code changes.
Results
- 80% reduction in reporting time
- 65% improvement in data accuracy
- 40% decrease in operational costs
Lessons Learned
Enterprise compliance software requires more than just good code—it demands deep domain understanding, meticulous testing, and unwavering attention to audit trails.
Building for regulated industries? These patterns apply beyond finance.