Requirements

Let's dive into designing a streamlined online customer verification platform specifically tailored for digital onboarding and KYC (Know Your Customer) compliance within the US financial landscape. Imagine a new user excitedly signing up for a FinTech application. Our platform will ensure this user's identity is rigorously verified, preventing fraud and maintaining regulatory adherence. The platform must orchestrate a complex workflow involving various verification methods, including document verification (driver's license, passport), identity verification using PII (Personally Identifiable Information) matching against trusted databases, and potentially biometric authentication. We also need to integrate with different KYC/AML (Anti-Money Laundering) providers for compliance checks. The platform needs to be flexible to accommodate changes in regulatory requirements and the addition of new verification methods without significant code modifications. The system also has to handle cases where the verification fails. We need to store enough information for audit trails and provide mechanisms for the customer to retry the verification process or appeal the decision. The platform needs to be highly reliable and performant, handling a high volume of verification requests concurrently. # Requirements ## Functional Requirements 1. **Customer Onboarding:** * Accept customer's Personally Identifiable Information (PII), including but not limited to Name, Address, Date of Birth, and Social Security Number. * Accept document uploads (e.g., Driver's License, Passport, Utility Bills). * Support multiple document formats (e.g., PDF, JPG, PNG). * Provide a user-friendly interface (simulated - focus is on the backend). 2. **Identity Verification:** * Verify customer's PII against trusted data sources (e.g., LexisNexis, Experian). This is simulated; focus on interface design. * Implement address verification. * Implement SSN (Social Security Number) verification. * Support integration with external KYC/AML providers (e.g., ComplyAdvantage, Dow Jones Watchlist). This integration should be abstract/mocked. 3. **Document Verification:** * Validate the authenticity and integrity of uploaded documents. This is simulated OCR/Image analysis. * Extract relevant information from documents using OCR (Optical Character Recognition) (simulated). * Match information extracted from documents with the customer's provided PII. * Detect fraudulent documents (e.g., altered images, mismatched information). Implement a simple fraud detection mechanism. 4. **KYC/AML Screening:** * Screen customer's information against sanctions lists, PEP (Politically Exposed Persons) lists, and other relevant watchlists through mocked 3rd party APIs. * Generate alerts for potential matches. * Provide a mechanism for manual review of alerts. 5. **Verification Workflow:** * Define a configurable verification workflow that can be customized based on customer risk profile and regulatory requirements. * Support multiple verification stages (e.g., PII verification, document verification, KYC/AML screening). * Implement a retry mechanism for failed verification steps. * Support manual overrides and exceptions. 6. **Audit Logging:** * Log all verification activities, including timestamps, user IDs, data inputs, verification results, and audit trails. * Provide a mechanism for retrieving and reviewing audit logs. 7. **Reporting & Monitoring:** * Provide real-time monitoring of verification process performance. * Generate reports on verification rates, failure rates, and other key metrics. 8. **Error Handling & Notifications:** * Implement robust error handling to manage exceptions and unexpected scenarios during the verification process. * Send appropriate notifications to customers regarding the status of their verification (e.g., verification successful, verification failed, documents required). * Provide clear and informative error messages to guide users through the verification process. ## Non-Functional Requirements 1. **Thread Safety:** The platform must be thread-safe to handle concurrent verification requests without data corruption or race conditions. Employ appropriate synchronization mechanisms (e.g., locks, concurrent data structures) to ensure data consistency and integrity. 2. **Extensibility:** The platform must be designed to be extensible to support new verification methods, data sources, and KYC/AML providers without requiring significant code changes. Employ design patterns such as Strategy and Factory to achieve extensibility. 3. **Modularity:** The platform must be modular, with well-defined components and interfaces. This allows for easier maintenance, testing, and reuse of code. Aim for high cohesion and low coupling. 4. **Testability:** The platform must be designed to be easily testable, with clear separation of concerns and well-defined interfaces. Use dependency injection to facilitate unit testing and integration testing. 5. **Maintainability:** The code should be well-documented and easy to understand, following coding conventions and best practices. Employ meaningful variable and method names and provide clear comments where necessary. 6. **Error Handling:** The platform must handle errors gracefully and provide informative error messages to the user. Implement a robust error handling strategy that includes logging, exception handling, and retry mechanisms. 7. **Performance:** The platform must be performant and able to handle a high volume of verification requests with minimal latency. Consider using caching and other optimization techniques to improve performance. Algorithmic complexity of verification steps matters. 8. **Scalability:** While a fully distributed system isn't the focus, the *design* should consider scalability. The modular design should allow for components to be scaled independently if needed (e.g., document processing). 9. **Security:** The platform must protect sensitive customer data and prevent unauthorized access. Implement appropriate security measures such as encryption, access control, and input validation. ## Core Entities 1. **Customer:** Represents the individual being verified. Contains PII such as name, address, date of birth, and SSN. 2. **VerificationRequest:** Represents a request to verify a customer's identity. Contains information about the customer, the verification methods to be used, and the current status of the verification process. 3. **VerificationMethod:** An abstract class or interface representing a specific verification method (e.g., PII verification, document verification, KYC/AML screening). 4. **PIIVerificationMethod:** Concrete implementation of VerificationMethod for PII verification. 5. **DocumentVerificationMethod:** Concrete implementation of VerificationMethod for document verification. 6. **KYCVerificationMethod:** Concrete implementation of VerificationMethod for KYC/AML screening. 7. **VerificationResult:** Represents the result of a verification step. Contains information about whether the verification was successful, any errors that occurred, and the confidence level of the verification. 8. **Document:** Represents a document uploaded by the customer. Contains the document's content, format, and other metadata. 9. **KYCProvider:** An interface representing an external KYC/AML provider. Allows the platform to integrate with different KYC/AML providers without requiring code changes. 10. **AuditLog:** Represents a log entry for a verification activity. Contains information about the activity, the timestamp, the user ID, and the data inputs. 11. **WorkflowEngine:** Orchestrates the verification process, managing the execution of different verification methods and handling retries and errors. 12. **FraudDetector:** Detects fraudulent documents or suspicious activity.

Design online customer verifaction platform for digital on-boarding(KYC) of the users for bank and others client's.

Requirements

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