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FinTech
14 months
8 engineers

Enterprise Payment Processing Platform

Client: Regional Financial Services Provider

Built a comprehensive payment processing platform handling millions of transactions monthly with real-time fraud detection and regulatory compliance.

10x
increase in processing capacity
85%
reduction in average response time
$2.3M
in fraudulent transactions blocked
90%
reduction in compliance workload

The Challenge

Our client, a regional financial services provider, was operating on a legacy payment system built over 15 years ago. The system could no longer meet growing transaction volumes, lacked real-time fraud detection capabilities, and required extensive manual intervention for regulatory reporting.

The existing platform processed approximately 500,000 transactions monthly but was reaching capacity limits. Response times during peak hours exceeded acceptable thresholds, and the monolithic architecture made it nearly impossible to add new payment methods or integrate with modern banking APIs.

Compliance requirements were becoming increasingly complex, and the manual reporting processes consumed significant staff time while introducing risk of human error in regulatory submissions.

Our Approach

Conducted comprehensive assessment of the existing payment infrastructure, documenting all transaction flows, integration points, and compliance requirements
Designed a modern microservices architecture with separate services for payment processing, fraud detection, reporting, and customer management
Implemented real-time fraud detection using machine learning models trained on historical transaction patterns
Built automated compliance reporting pipelines that generate regulatory submissions without manual intervention
Created a phased migration strategy that allowed the new system to run in parallel with the legacy platform during transition
Established comprehensive monitoring and alerting for all critical payment flows with sub-second anomaly detection

The Outcome

The new payment platform successfully launched after 14 months of development and a 3-month parallel operation period. Transaction processing capacity increased 10x while reducing average response times by 85%.

The real-time fraud detection system identified and blocked over $2.3 million in fraudulent transactions in the first six months of operation. Automated compliance reporting reduced the regulatory team's manual workload by 90% while improving accuracy and timeliness of submissions.

The modern architecture enabled rapid integration of three new payment methods within the first year, including real-time payments and digital wallet support—capabilities that would have taken years to implement on the legacy system.

Technologies Used

Node.jsPostgreSQLRedisKubernetesAWSApache KafkaTensorFlowGraphQL

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