Identity Risk & Fraud Analyst analyzing applicant identity data and detecting fraud patterns to ensure secure lending processes. Collaborating with analytics, engineering, and compliance teams to enhance fraud detection.
Responsibilities
Analyze applicant identity data and digital verification results (e.g., Persona checks, document images, device and IP data) to detect fraud or synthetic identity patterns.
Develop and maintain fraud risk rules, thresholds, and alerts in collaboration with analytics and engineering teams.
Conduct deep-dive investigations on suspicious identity clusters or behavioral anomalies.
Support continuous improvement of fraud detection models, providing feedback on false positives and emerging trends.
Partner with Underwriting and Risk teams to evaluate identity risk impact on loan performance and recommend mitigation strategies.
Perform root-cause analysis of confirmed fraud cases to identify missed signals and propose system refinements.
Track and monitor identity verification accuracy, fraud loss rates, and system performance metrics.
Act as the subject matter expert (SME) for identity verification tools such as Persona, optimizing configurations, workflows, and rule logic.
Collaborate with Compliance and Operations to ensure KYC, AML, and identity verification processes meet regulatory standards.
Requirements
Bachelor’s degree in Business, Data Analytics, Risk Management, or a related field.
1–3 years of experience in fraud risk management or identity verification analytics, ideally within fintech, lending, or banking.
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