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Development of a Dedicated Remote Team for a Peer-to-Peer Lending Platform
  1. case
  2. Development of a Dedicated Remote Team for a Peer-to-Peer Lending Platform

Development of a Dedicated Remote Team for a Peer-to-Peer Lending Platform

beetroot
Financial services
Information technology

Identified Challenges in Scaling and Skill Acquisition for a Fintech Lending Platform

The client, a Swiss-based online lending platform with over 20,000 loyal customers, faced significant difficulties finding skilled Scala developers locally. This hindered their ability to improve and automate the credit approval process efficiently. Relying solely on in-house resources resulted in limitations in scaling and expertise, impacting their product innovation and market competitiveness. The need arose to acquire a technically proficient, dedicated development team located remotely to support continuous growth and technological advancement.

About the Client

A mid-sized fintech company focusing on online consumer and business lending services aiming to enhance their credit processing system through a dedicated distributed development team.

Goals for Establishing a High-Performance Remote Development Team

  • Establish a dedicated, scalable remote development team to support ongoing system enhancements and maintenance.
  • Achieve a high level of technical competence in Scala and related banking technology stacks to improve credit process efficiency.
  • Build a cohesive team that can integrate seamlessly with existing business operations and product workflows.
  • Outperform previous outsourcing results by fostering team loyalty, pride, and sustainable delivery schedules.
  • Scale the remote team dynamically in response to project demands, surpassing initial in-house team capacity.
  • Facilitate effective communication and understanding of domain-specific credit business requirements through dedicated business analysis resources.

Core Functional System Features and Capabilities

  • Secure and scalable online platform infrastructure for credit application processing.
  • Automated credit decisioning engine leveraging complex business rules.
  • User account management with onboarding, verification, and transaction tracking.
  • Integration with external credit bureaus and financial data providers.
  • Real-time reporting and analytics dashboard for monitoring credit performance.
  • Role-based access control and compliance reporting functionalities.
  • API ecosystem facilitating integration with internal and third-party systems.

Preferred Technical Stack and Architectural Approaches

Scala for backend development
React for frontend interfaces
PostgreSQL for database management
Microservices architecture for scalability and flexibility
Cloud deployment platforms such as AWS or Azure
Automated CI/CD pipelines for continuous integration and deployment

External System and Data Source Integrations

  • Credit bureaus for credit score retrieval
  • Banking data providers for financial verification
  • Internal analytics dashboards
  • User authentication and identity verification systems

Critical Non-Functional System Criteria

  • Support for scaling to handle over 20,000 concurrent users
  • High performance with system uptime of 99.9%
  • Strong security measures compliant with financial regulations
  • Flexible architecture for future feature expansion
  • Efficient communication channels between remote team members

Projected Business Benefits and Outcomes

Upon successful implementation, the new dedicated remote team is expected to significantly enhance system efficiency, leading to increased loan processing capacity and faster credit decision times. The team will enable the client to deliver continuous improvements, surpass current user engagement, and accelerate market expansion. Historically, similar initiatives have resulted in a 50% growth in product utilization and a substantial increase in operational scalability, enabling the platform to handle a 10,000+ user increase within a year.

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