Fraud Analytics Subject Matter Expert
General Information
Requisition # 684
Locations USA-VA-Arlington
Posting Date 03/20/2026
Security Clearance Required - ACTIVE IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
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.
Responsibilities include but are not limited to:
- 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.
Minimum Qualifications:
- 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.
Preferred Qualifications:
- 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.
Clearance Requirements:
- Must currently possess an IRS Public Trust clearance with Full Background Investigation
Physical Requirements:
- 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
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at [email protected] and provide your name and contact information.
What We Do
Elder Research is a recognized leader in data science, machine learning, and artificial intelligence consulting. Founded in 1995 by Dr. John Elder, Elder Research has helped government agencies and Fortune Global 500® companies solve real-world problems in diverse industry segments. Our goal is to transform data, domain knowledge, and algorithmic innovations into world-class analytic solutions. When we combine the business domain expertise of our clients with our deep understanding of advanced analytics, we create a team that can extract actionable value from the data. Our areas of expertise include data science, text mining, data visualization, scientific software engineering, and technical teaching. Experience with diverse projects and algorithms, advanced validation techniques, and innovative model combination methods (ensembles) enables Elder Research to maximize project success for a continued return on analytics investment. In 2020 we acquired the Institute for Statistics Education at Statistics.com to provide focused data science, analytics, and statistics training for corporations and individuals. The Institute’s certificates and degrees are certified by the State Council of Higher Education for Virginia, and its courses are approved by the American Council on Education. Elder Research’s Analytics Services are designed to scale based on the unique requirements of each organization and can maximize the client’s return on analytic investment. Elder Research is also a leader in advanced analytic training and offers a variety of training services directed at each of the key stakeholders within an organization. Training builds a common foundation and vision for analytics across business units and lead to the successful adoption, deployment, and maintenance of analytic models within an organization.
