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Development of a High-Performance Customer Verification and Risk Assessment System for Financial Institutions
  1. case
  2. Development of a High-Performance Customer Verification and Risk Assessment System for Financial Institutions

Development of a High-Performance Customer Verification and Risk Assessment System for Financial Institutions

scalosoft.com
Financial services
Banking
Credit Risk Management
Fintech

Identifying Challenges in Speed and Accuracy of Customer Credibility Verification

The client faces complex requirements in verifying customer credibility rapidly and accurately to support credit decisions and risk management. They need systems capable of scanning diverse databases and information sources efficiently, while maintaining high quality and compliance standards, all within a cost-effective framework.

About the Client

A large-scale financial technology company specializing in credit data, risk evaluation, and verification solutions serving banking and lending organizations globally.

Goals for Developing an Advanced Risk and Verification System

  • Design and implement a scalable software solution to verify customer credibility swiftly and precisely.
  • Enhance the ability to scan and analyze multiple data sources for comprehensive risk assessment.
  • Maintain high-quality code standards to support reliable decision-making processes.
  • Optimize development costs while enabling rapid testing and deployment of new features.
  • Achieve a verification process capable of handling large volumes of transactions with minimal latency.
  • Support ongoing integration with existing financial data sources and legacy systems.

Core Functionalities for Customer Verification and Risk Assessment System

  • Automated customer identity verification through multi-source data integration.
  • Rapid database and information source scanning for real-time credibility assessment.
  • Risk scoring algorithm with configurable thresholds for decision-making.
  • Intuitive analytics dashboard providing insights into verification processes and risk profiles.
  • Secure and compliant data handling mechanisms following industry standards.
  • Flexible API interfaces for integration with third-party financial systems.
  • Scalable architecture supporting increased transaction volumes without performance degradation.

Technological Foundations and Architectural Preferences

Microservices architecture
RESTful APIs
Containerization with Docker or Kubernetes
Cloud platforms such as AWS or Azure
Modern programming languages like Java, Python, or Node.js
Databases such as PostgreSQL and MongoDB
Automated testing frameworks including Selenium
CI/CD pipelines with Jenkins or similar tools
Version control with Git

External Systems and Data Sources Integration Needs

  • Financial data databases for customer information
  • External credit bureaus and risk assessment sources
  • Internal compliance and audit systems
  • Legacy banking and financial systems for seamless data flow

Performance, Security, and Reliability Standards

  • System should support at least 10,000 verification requests per hour with 99.9% uptime.
  • Response time for individual verifications under 2 seconds.
  • Data encryption both at rest and in transit to ensure security and regulatory compliance.
  • Compliance with industry standards such as GDPR and PCI DSS.
  • Scalable infrastructure to handle increasing transaction load without significant latency.

Anticipated Business Benefits and Operational Improvements

The new verification and risk assessment system aims to significantly reduce the time required for customer credibility checks, improving operational efficiency. Expected outcomes include increased verification throughput, higher accuracy in risk detection, and strengthened regulatory compliance, ultimately supporting growth and reducing financial losses associated with credit risk mismanagement.

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