Our client is seeking a Fraud Analytics & Risk Lead to spearhead an Application Integrity Scoring initiative focused on fraud detection, data quality, and risk management within a lending environment.

Key Responsibilities

• Assess and map application intake and approval processes across branch channels.
• Analyze historical application data to identify fraud indicators, anomalies, and data quality issues.
• Develop business rules and risk models to detect suspicious applications and high-risk behaviors.
• Design and implement an Application Integrity Scoring framework.
• Partner with Compliance, Risk, Operations, Analytics, and Technology teams to support implementation.
• Create audit trails, reporting, and dashboards to monitor application and branch-level risk.

• 5+ years of experience in banking, lending, fraud analytics, risk management, or financial services.
• Strong knowledge of application fraud, underwriting processes, and behavioral analytics.
• Advanced SQL and data analysis skills; experience with data warehouses and reporting tools.
• Proven experience with business process analysis, requirements gathering, and stakeholder management.
• Knowledge of banking regulations, compliance, and lending operations.
• Experience with fraud detection rule engines and scoring models.
• Trino, Hive, ETL, or data lake experience.
• Background working with large financial institutions.

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This job posting is for a current vacancy with our client.

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