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Development of Automated KYC and Property Background Check Microservices for Financial Institutions
  1. case
  2. Development of Automated KYC and Property Background Check Microservices for Financial Institutions

Development of Automated KYC and Property Background Check Microservices for Financial Institutions

knubisoft.com
Financial services
Real estate

Identifying the Need for Automated Background Verification Processes in Financial Services

The client’s digital platform for real estate investment and lending faces challenges in rapidly verifying investor and borrower identities, as well as conducting thorough background checks on real estate assets. Manual processes hinder operational speed, compliance adherence, and user experience, necessitating automated solutions to streamline these critical background screening procedures in accordance with KYC regulations.

About the Client

A regulated financial institution specializing in asset-backed lending and real estate investments seeking to enhance operational efficiency and compliance through automation.

Goals for Implementing Automated Background Check Microservices

  • Develop microservices to automate the background verification of investors and borrowers, reducing manual effort and processing time.
  • Create systems to perform automated background checks on real estate properties and land plots, ensuring asset authenticity and compliance.
  • Integrate third-party data sources to facilitate real-time checks and receive prompt verification results.
  • Design scalable, secure, and maintainable microservice architectures to support future growth and regulatory requirements.
  • Validate the microservices through testing and deploy MVPs for client evaluation to ensure operational effectiveness.

Core Functional Capabilities for Automated Background and Property Checks

  • API Endpoint for initiating investor and borrower identity verification requests.
  • API Endpoint for initiating real estate and land property background checks.
  • Integration modules with third-party verification services for identity and property background data.
  • Asynchronous message queuing to handle checking workflows and data processing.
  • Result collection, storage, and forwarding mechanisms to deliver verification outcomes to the main platform.
  • Real-time status monitoring for ongoing background checks.

Preferred Technologies and Architectural Approaches

Microservices architecture
Python for backend development
MySQL for database management
Message queue technology such as RabbitMQ for asynchronous processing
Containerization with Docker
CI/CD pipelines using Jenkins
API documentation with ReDoc
Code dependency management with Poetry
Frameworks like Tornado for high-performance networking

External Data and Verification Service Integrations

  • Third-party identity verification services for KYC checks
  • Real estate asset background check providers
  • Land registry and land info databases

Essential Non-functional System Requirements

  • High scalability to handle increasing volume of requests
  • Performance targets ensuring response times within seconds
  • Secure handling of sensitive personal and property data in compliance with data protection regulations
  • Robust error handling and fault tolerance
  • Maintainability and ease of updates for rapidly evolving compliance standards

Projected Business Benefits and Operational Improvements

The implementation of automated KYC and property background check microservices is expected to significantly accelerate onboarding and asset verification processes, leading to faster deal execution, improved compliance adherence, and enhanced customer experience. These improvements aim to reduce manual verification effort, ensure regulatory compliance, and support the client’s strategic growth in real estate investment and lending markets.

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