Design a loan application system
Design an End-to-End Online Loan Application Platform
Context
Design a small online lending platform that enables applicants to select loan products and submit applications. The platform must perform internal review and underwriting, and integrate with various third-party providers to fetch credit history and bank-account transaction data.
Assume the platform will serve web and mobile clients, operate under US-based compliance regulations (specifically KYC/AML), and handle ACH bank disbursements through a payment/fintech provider. Standard third-party vendors for services like credit bureaus, bank aggregation, and identity/AML checks should be considered for integration.
Requirements
The design should cover the following aspects:
1. High-Level Architecture
- Define service boundaries and core data models.
- Specify public and internal APIs, including the use of webhooks.
- Detail the eventing, queuing, and workflow mechanisms, including the design of an application state machine.
2. Decisioning and Post-Decision Flows
- Outline the approval and denial paths for loan applications.
- Describe post-decision actions, particularly focusing on funds disbursement and transfer processes.
3. Operational Concerns
- Address robustness for external API integrations, including strategies for idempotency, retries, timeouts, rate limiting, and handling partial failures.
- Propose an implementation approach for Know Your Customer (KYC), Anti-Money Laundering (AML), and fraud checks.
- Detail measures for Personally Identifiable Information (PII) protection and support for compliance and audit requirements.
- Describe tooling for manual review processes.
- Discuss observability, scalability, and backpressure mechanisms to handle growth.
- Compare synchronous versus asynchronous processing paradigms, justifying the trade-offs made in the design.
AI interview prep
Core dilemma
Balancing the need for rapid, automated decisioning and high availability with strict financial compliance, data security (PII), and the inherent unreliability of external third-party integrations, all while maintaining auditability and idempotency in a stateful workflow.
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Design a loan application system
Design an End-to-End Online Loan Application Platform
Context
Design a small online lending platform that enables applicants to select loan products and submit applications. The platform must perform internal review and underwriting, and integrate with various third-party providers to fetch credit history and bank-account transaction data.
Assume the platform will serve web and mobile clients, operate under US-based compliance regulations (specifically KYC/AML), and handle ACH bank disbursements through a payment/fintech provider. Standard third-party vendors for services like credit bureaus, bank aggregation, and identity/AML checks should be considered for integration.
Requirements
The design should cover the following aspects:
1. High-Level Architecture
- Define service boundaries and core data models.
- Specify public and internal APIs, including the use of webhooks.
- Detail the eventing, queuing, and workflow mechanisms, including the design of an application state machine.
2. Decisioning and Post-Decision Flows
- Outline the approval and denial paths for loan applications.
- Describe post-decision actions, particularly focusing on funds disbursement and transfer processes.
3. Operational Concerns
- Address robustness for external API integrations, including strategies for idempotency, retries, timeouts, rate limiting, and handling partial failures.
- Propose an implementation approach for Know Your Customer (KYC), Anti-Money Laundering (AML), and fraud checks.
- Detail measures for Personally Identifiable Information (PII) protection and support for compliance and audit requirements.
- Describe tooling for manual review processes.
- Discuss observability, scalability, and backpressure mechanisms to handle growth.
- Compare synchronous versus asynchronous processing paradigms, justifying the trade-offs made in the design.