Serve as a technical resource for identifying fraudulent activity by developing criteria, detection models, and analytical approaches that surface high‑risk behaviors across claims, providers, employers, and injured workers. Conduct complex data mining, outlier analysis, and trend identification across large, stratified datasets to uncover anomalies and patterns indicative of fraud or abuse. Use advanced technologies (e.g., FMS, CORESuite, IBM Cognos, Tableau) to design databases, compile large datasets, and create dashboards and reports that support fraud investigations. Analyze cross‑match data from state and out‑of‑state agencies (e.g., wage, payroll, medical billing) to identify potential dual‑benefit recipients or other fraudulent activity. Partner with investigative units to review allegations, validate claims activity, gather information from employers and providers, and support both criminal and civil case development. Develop tailored reports, trend analyses, and retrospective reviews to support investigative units and operational decision‑making across the Special Investigations Department.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed