Hybrid Identity Risk & Fraud Analyst

Posted last week

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About the role

  • 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.
  • Hands-on experience with identity verification platforms (e.g., Persona, Alloy, Socure, Onfido, etc.).
  • Strong analytical background with proficiency in SQL, Python, or similar tools is a plus.
  • Familiarity with credit bureau data, alternative data, and identity validation methodologies.

Benefits

  • Health insurance
  • Professional development opportunities
  • Flexible work arrangements

Job title

Identity Risk & Fraud Analyst

Job type

Experience level

Junior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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