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

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Development of Automated KYC and Property Check Microservices for Financial Platform

knubisoft.com
Financial services
Real estate

Business Challenges in Manual Background Check Processes

The client required full automation of background checks for investors, borrowers, real estate assets, and land plots to accelerate operations, enhance customer experience, and ensure strict compliance with KYC regulations. Manual processes were slowing down loan approvals and investment onboarding.

About the Client

A London-based financial services and fintech company operating an investment platform for institutional and individual investors in UK real estate, and providing asset-backed loans for real estate projects.

Project Goals and Desired Outcomes

  • Develop two standalone microservices (KYC & Property Check) for automated background verification
  • Create MVP versions for initial testing and validation
  • Integrate microservices with existing digital ecosystem and third-party solutions
  • Ensure compliance with KYC/AML regulations and data security standards
  • Improve operational efficiency and reduce manual intervention in verification workflows

Core System Functionalities

  • API-driven KYC verification for investors and borrowers
  • Automated real estate/land plot background checks
  • Third-party data source integration for verification
  • Result aggregation and reporting dashboard
  • Audit trail for compliance documentation

Technology Stack Requirements

Python
MySQL
Tornado
RabbitMQ
Jenkins
Docker
Alembic
Cabana
Poetry
ReDoc

Third-Party System Integrations

  • KYC verification providers
  • Real estate data platforms
  • Existing investment platform APIs

Performance and Compliance Requirements

  • High availability (99.9% uptime)
  • Scalable architecture for peak loads
  • GDPR-compliant data handling
  • Low-latency response times (<2s per check)
  • Secure API authentication

Expected Business Impact

Automated verification processes will reduce onboarding time by 60-70%, enable faster loan approvals, ensure regulatory compliance, and support business scalability while maintaining high security standards. The microservices architecture will improve system maintainability and future feature integration.

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