Data-Powered
Fintech

The client specializes in providing solutions that empower financial institutions and fintech companies to effectively understand and act on payment risks. Their services focus
on connecting and unifying data, proactively managing risk, and ensuring compliance with regulatory requirements.

Compliance
Risks

The client’s legacy Delphi-based system for payment risk management was outdated, lacking scalability and automation. It couldn’t process new data formats or support BI, AI, and ML applications. Security vulnerabilities and compliance risks made modernization essential, requiring a cloud-based SaaS solution with enhanced data processing and automation.

Modernization
for Scalable Intelligence

Our solution blended modern architecture, automation,
and enhanced data utility to future-proof the client’s platform.

Cloud-Based Modernization

We migrated the client’s system to the cloud using Databricks and Apache Spark, ensuring scalability and high-performance data processing.

A medallion architecture with bronze, silver, and gold layers was implemented to structure and optimize data flow.

Automation and Security

A multi-tenant SaaS model with strict data segregation was introduced for secure operations.

CI/CD pipelines, Terraform, and Azure DevOps automated provisioning and deployment, reducing setup time. Enhanced security measures ensured compliance with financial regulations. 

Advanced Data Processing

Support for new data types and formats enabled seamless integration with BI, AI, and ML applications.

The system now efficiently processes, structures, and prepares data, unlocking valuable insights for decision-making. 

Business Value

The client now has a scalable, secure, and automated cloud-based solution. Deployment is faster, and data processing is more efficient. The modernized system meets compliance standards while enabling AI-driven insights, positioning the client for growth and innovation in payment risk management.