credit-related-party-detection

To detect related parties for corporate credit risk, map entities across six dimensions: equity, management, family, transactions, guarantees, and implicit signals. This surfaces hidden connections to identify abnormal transactions before they impact credit safety.

Four-flows verification cross-checks contract, invoice, logistics or service, and fund flows to detect abnormal transactions. This consistency check identifies risks like fictitious trading, fund idling, and profit transfers in corporate borrowers.

Identify hidden related-party transactions in group clients by building an entity graph across equity, management, and guarantee links. The detection applies four-flows consistency to flag transfer pricing and fund diversion risks.

Yes, related-party detection supports lend-before checks, lend-during monitoring, and lend-after early warning. It performs deep investigations for corporate borrowers to track emerging implicit signals and guarantee risks over the credit lifecycle.

R1-R6 veto triggers are one-veto conditions in credit risk grading that immediately red-flag a borrower and force escalation. When any trigger fires, the system outputs a high-risk label regardless of other scoring factors.

The best way to map equity and management links is using six-dimension related-party mapping. It builds a comprehensive entity graph combining family ties and implicit signals to enforce full coverage and output structured risk grading.