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Secure and Compliant Digital Lending Platform with Segregated User Flows and Anomaly Detection
  1. case
  2. Secure and Compliant Digital Lending Platform with Segregated User Flows and Anomaly Detection

Secure and Compliant Digital Lending Platform with Segregated User Flows and Anomaly Detection

capitalnumbers.com
Financial services

Identified Challenges in Loan Application Security and User Flow Management

Despite an existing digital lending application, the client faces issues with consistent user experience across different banking partners, vulnerability to deviations from prescribed workflows, difficulty in accurately assessing borrower creditworthiness, and compliance risks due to security gaps. These challenges hinder efficient loan processing, risk management, and regulatory adherence.

About the Client

A mid-sized digital lending institution seeking to enhance their loan application platform with advanced security, compliance, and personalized user journeys.

Goals for Developing a Robust, Compliant Digital Lending System

  • Implement a microservices-based architecture to differentiate user pathways for various lending partners and products.
  • Enforce predetermined loan application workflows with real-time deviation alerts to prevent process bypassing.
  • Develop conformance logs to track user progress and ensure adherence to application steps.
  • Integrate automated credit scoring rules to evaluate borrower financial capacity based on input data.
  • Establish secure mechanisms to authenticate and validate autogenerated loan offers prior to issuance.
  • Enable partial application resume functionality to improve user experience and reduce drop-off rates.
  • Ensure system compliance with relevant financial and data security regulations through layered security controls.

Core Functional Specifications for the Lending Application Platform

  • Segregated user flows tailored for each lending partner or product to cater to diverse loan offerings.
  • Predetermined step enforcement with real-time deviation detection and admin alerts.
  • Workflow progress log system to monitor and resume partial applications seamlessly.
  • Automated creditworthiness assessment mechanisms utilizing user input and financial data.
  • Loan offer authenticity verification layer before dispatching offers to borrowers.
  • Audit log system to record application steps, loan offers, and system events for regulatory compliance.
  • Deviation alert system to notify administrators of process bypasses.
  • User interface adjustments dynamically tailored based on selected lending products.

Technical Architecture and Technology Stack Preferences

Microservices architecture to facilitate differentiated user pathways
Backend developed with a high-performance framework such as ASP.NET Core
Frontend using Razor Views and TypeScript for maintainability and UI responsiveness
Data stored in an MS SQL relational database for structured data management

Essential System Integration Requirements

  • External credit scoring APIs for automated credit assessment
  • Regulatory and compliance validation services
  • Mock APIs for testing scenarios during development when real APIs are unavailable

Critical Non-Functional System Requirements

  • System scalability to handle multiple concurrent loan applications with high performance
  • Security measures ensuring system compliance with industry regulations, including audit trails and secure authentication
  • High availability and resilience to support 24/7 operation
  • Real-time alerting and logging capabilities for deviation detection and audit purposes

Expected Business Outcomes and Regulatory Compliance Improvements

The new platform aims to ensure 100% audit compliance, enhance regulatory adherence, and improve user satisfaction through seamless partial application workflows. Anticipated outcomes include reduced loan processing errors, improved risk assessment accuracy, and increased confidence among lending partners, ultimately leading to more secure and reliable lending operations.

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