Development of a Modular Credit Scoring System with Customization and Microservice Architecture

The client faces difficulties in automating loan approval processes due to rigid credit scoring modules that lack easy customization for varied institutional criteria. As a result, manual intervention is high, operational efficiency is reduced, and opportunities for scalable partner integration are limited.

A mid-sized financial institution offering a range of lending products seeking to automate and optimize their credit evaluation process.

• Implement an automated credit scoring mechanism to streamline loan approval workflows.
• Enable dynamic and user-friendly customization of credit scoring criteria for different clients without code modifications.
• Adopt a microservice architecture to improve system modularity, support, and integration capabilities.
• Reduce employee workload and operational costs through automation.
• Minimize default risks by accurately evaluating borrower capacity with a customizable scoring model.
• Facilitate expansion to new partners and systems via scalable, supportable architecture.

• Automated assessment of borrower’s capacity to repay based on personal data, financial history, and cost analysis.
• Configurable scoring rules interface allowing non-technical staff to modify decision criteria for each client.
• Automatic approval of small-value loans and system-assisted review of larger amounts.
• Decision engine that aggregates individual risk factors into a consolidated score to approve or reject applications.
• Microservice architecture to enable independent deployment, maintenance, and scalability of the scoring module.
• Support for integration with existing banking databases and external data sources for comprehensive borrower profiling.

• Core banking systems for transaction processing and account management.
• External data sources for credit history and borrower profiling.
• User interfaces for configuring scoring criteria and monitoring decisions.

• System should handle high volumes of loan applications with low latency, targeting response times under 1 second for approval decisions.
• Ensure high availability and fault tolerance through microservice deployment strategies.
• Implement secure data handling to protect sensitive borrower information.
• Support easy scalability to accommodate increasing processing loads and expanding partner networks.

The system is projected to significantly reduce manual workload and processing time, leading to operational cost savings. Accurate and customizable scoring criteria will minimize default risks, enabling better risk management. The microservice architecture will facilitate rapid integration with new partners, supporting scalable business expansion.