Data Warehouse: Anti-Money Laundering System

Computerized database for data storage in compliance with anti-money laundering regulations

This project addresses the critical need to set up a computerized database dedicated to compliance with anti-money laundering policies. The goal is to facilitate data storage in compliance with current regulations, automate risk profile calculations, and the annual self-assessment process.

The system implements a complete data warehousing solution tailored for anti-money laundering compliance, providing interaction capabilities via REST API for seamless communication with other components.

The microservices architecture ensures scalability and flexibility, while the dedicated KYC evaluation module allows organizations to assess customer identities, verify documentation, and report suspicious activities.

The solution feeds the automated analysis system for anomalous operations, ensuring regulatory compliance and complete audit trail.

Because in finance, compliance is non-negotiable.

Backend: Nest.js as framework for efficient and scalable server-side applications, AWS Lambda for serverless code execution, TypeORM for database management, AWS RDS (Aurora PostgreSQL) for managed database operations.

Architecture: Microservices for scalability and flexibility, REST API for seamless interaction, dedicated KYC module for customer identity assessment and suspicious activity reporting.

DevOps: AWS SAM for serverless application definition and deployment, GitLab CI for automated continuous integration and deployment.

Automated risk profile calculations, automated analysis system feeding for anomalous operations, automated annual self-assessment process.

Architecture: Microservices for scalability and flexibility, REST API for seamless interaction, dedicated KYC module for customer identity assessment and suspicious activity reporting.

DevOps: AWS SAM for serverless application definition and deployment, GitLab CI for automated continuous integration and deployment.

Automated risk profile calculations, automated analysis system feeding for anomalous operations, automated annual self-assessment process.

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