Fraud Analytics Subject Matter Expert

Elder Research • Arlington, VA

11h • Hybrid

About The Position

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Fraud Analytics Subject Matter Expert to join our team in Arlington, VA. This is a hybrid position with several days onsite over the course of a month. We are seeking a Fraud Analytics Subject Matter Expert (SME) to provide deep domain expertise supporting fraud detection and identity theft analytics initiatives. This role guides analytical development, validates analytical outputs, and ensures models and analytical results accurately reflect real-world fraud behaviors and operational realities. The ideal candidate brings extensive experience analyzing fraud patterns and supporting operational fraud detection programs within government or financial institutions.

Requirements

• Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
• 5+ years of experience in fraud analytics, identity theft analysis, financial crime analytics, or compliance program support.
• Deep understanding of fraud schemes, filing behaviors, and investigative treatment processes
• Experience validating analytical outputs through case-level or transaction-level review.
• Demonstrated experience supporting fraud analytics within a federal agency, financial institution, or similarly regulated environment.
• Strong knowledge of fraud detection, anomaly detection, risk scoring, and network analysis techniques.
• Experience working with large financial or tax datasets in enterprise analytical environments.
• Familiarity with analytical tools including SQL, Python, and enterprise analytics platforms.
• Must currently possess an IRS Public Trust clearance with Full Background Investigation
• Must be able to remain in a stationary position 50%
• Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
• Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
• Must be able to exchange accurate information in these situations

Nice To Haves

• Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
• Working knowledge of federal tax forms, filing processes, information returns, refund issuance workflows, and identity theft treatments.
• Ability to translate analytical findings into insights useful for operational fraud programs.

Responsibilities

• Provide domain expertise in fraud detection, identity theft, and financial crime analytics.
• Guide analytical teams in identifying fraud schemes, patterns, and emerging threats.
• Validate analytical outputs through return-level or case-level analysis.
• Assist in interpreting model results and analytical findings.
• Support collaborative reviews, stakeholder briefings, and operational discussions.
• Help refine analytical approaches based on evolving fraud behaviors and operational insights.
• Contribute to documentation of fraud patterns, analytical logic, and investigative insights.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level