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Development of Scalable Personal Loan Platform with Microservices Architecture and Offshore Team Integration

saigontechnology.com

Financial services

Information technology

Business services

Challenges in Scaling and Modernizing Loan Platform Infrastructure

The client required rapid scaling of a senior technical team (20+ members within 3 months) while modernizing legacy systems (Clojure-based Matcha module, KOA framework) and managing timezone differences across distributed teams. Complex integrations with third-party services and microservices architecture migration posed additional operational risks.

About the Client

A financial services company seeking to expand its digital lending capabilities through offshore team collaboration and modern technical architecture.

Strategic Goals for Platform Modernization

Establish scalable microservices architecture for loan management systems
Accelerate team onboarding while maintaining technical excellence
Migrate legacy components to modern technology stack
Implement agile development practices for cross-timezone collaboration
Enhance fraud detection and A/B testing capabilities

Core System Capabilities

Loan origination and modification workflows
Fraud detection and identity verification systems
Member portal for account management
A/B testing framework for application funnel optimization
Automated e-signing and remittance reporting
Credit institution integration dashboard

Technology Stack Requirements

Java Springboot

ReactJS

GraphQL

Kafka

AWS services

DynamoDB

Clojure

Third-Party System Integrations

Credit scoring APIs
Payment gateways
Identity verification services
Analytics platforms (Mixpanel, Fullstory)
Feature flag management (LaunchDarkly)

Operational Requirements

High availability across distributed systems
Real-time data processing capabilities
Enterprise-grade security compliance
Cross-region performance optimization
Scalable microservices orchestration

Anticipated Business Outcomes

The project is expected to deliver 100% ROI through operational efficiency gains, 40% reduction in system modernization costs, and 200% faster feature deployment cycles. Enhanced platform scalability will support 10x loan processing volume while maintaining regulatory compliance and improving fraud detection accuracy by 60%.