Senior Investigative Analyst (Fraud Analytics & Investigative Support)

About the role

Location: Remote (Occasional Travel May Be Required). Clearance: Ability to obtain and maintain a Public Trust Position. Praescient Analytics is seeking an experienced Senior Investigative Analyst to support federal fraud detection, investigative analysis, and program integrity initiatives. This individual will analyze structured and unstructured data from a wide range of public and non-public sources to identify fraud indicators, develop investigative leads, and produce high-quality intelligence products supporting Offices of Inspector General (OIGs), law enforcement, and government oversight organizations. The ideal candidate is an analytical problem solver with experience investigating complex fraud schemes involving government benefit programs and financial crimes. They are equally comfortable conducting detailed research, analyzing large datasets, identifying patterns and relationships, and transforming complex findings into clear investigative products that support operational decision-making.

Responsibilities

• Conduct investigative analysis supporting fraud, waste, abuse, and mismanagement investigations involving federal benefit programs and other government-funded initiatives.
• Analyze structured and unstructured data from public, non-public, commercial, financial, and law enforcement sources to identify fraud indicators, emerging patterns, and investigative leads.
• Research and evaluate fraud typologies, suspicious activities, and complex entity relationships associated with government benefit fraud and financial crimes.
• Develop investigative reports, referral packages, case summaries, intelligence products, and briefing materials suitable for referral to law enforcement and oversight organizations.
• Perform link analysis and relationship analysis using SQL, Neo4j, i2 Analyst's Notebook, and comparable investigative analysis platforms.
• Identify organized fraud rings, synthetic identities, eligibility fraud, identity theft, cross-program fraud, and other complex fraud schemes through data-driven investigative techniques.