<p>Our client is seeking a Fraud Analytics &amp; Risk Lead to spearhead an Application Integrity Scoring initiative focused on fraud detection, data quality, and risk management within a lending environment.</p><p><br></p><p>Key Responsibilities</p><ul><li>Assess and map application intake and approval processes across branch channels.</li><li>Analyze historical application data to identify fraud indicators, anomalies, and data quality issues.</li><li>Develop business rules and risk models to detect suspicious applications and high-risk behaviors.</li><li>Design and implement an Application Integrity Scoring framework.</li><li>Partner with Compliance, Risk, Operations, Analytics, and Technology teams to support implementation.</li><li>Create audit trails, reporting, and dashboards to monitor application and branch-level risk.</li></ul><p><br></p>

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

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