Customer Risk Rating

Unit21 Customer Risk Rating is a dynamic, customizable solution that enables financial institutions to assess customer risk using segment-specific models tailored to their business needs. It goes beyond static regulatory checklists by allowing organizations to define risk variables, test scoring thresholds, and integrate risk scores directly into fraud and AML workflows. This empowers teams to make smarter decisions, automate enhanced due diligence, and maintain full transparency in risk assessments.

Features

• Segment-Based Risk Models: Configure distinct models for customer types such as retail, enterprise, or new users.
• Custom Risk Variables: Use KYC data, transaction frequency, device fingerprints, and more to define risk.
• Real-Time Scoring: Continuously update customer risk ratings based on behavior and profile changes.
• Model Testing and Optimization: Validate scoring thresholds and refine models using historical data.
• Embedded Risk Scores: Integrate scores into monitoring rules to trigger alerts and adjust controls dynamically.
• Explainable Scoring: Full transparency into how scores are calculated, with audit-ready documentation.
• No-Code Deployment: Build, test, and launch models without engineering support.

Capabilities

• Tailored Risk Segmentation: Create granular risk profiles based on customer demographics and behaviors.
• Automated Due Diligence: Trigger enhanced checks based on risk scores, including adverse media and transaction analysis.
• Workflow Integration: Embed risk ratings into alert routing, transaction thresholds, and compliance actions.
• Flexible Data Ingestion: Accept any data type to enrich risk models and improve accuracy.
• Real-Time Model Adjustments: Update scoring logic instantly to reflect emerging threats or business changes.
• Cross-Platform Intelligence: Combine internal and external signals for a holistic view of customer risk.

Benefits

• Smarter Risk Decisions: Make informed choices using dynamic, data-driven risk assessments.
• Improved Fraud Detection: Use risk scores to proactively identify high-risk behavior and prevent financial crime.
• Operational Efficiency: Automate due diligence and alert handling to reduce manual workload.
• Regulatory Confidence: Maintain transparency and auditability in risk scoring and compliance processes.
• Scalable Risk Framework: Easily adapt models to new segments, jurisdictions, or business lines.
• Enhanced Customer Insights: Understand customer risk in context to support onboarding, monitoring, and retention.