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Fraud Data Analyst Jobs in Virginia (NOW HIRING)

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$33.7K

$81.9K

$134.8K

How much do fraud data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for fraud data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a fraud data analyst, and why are they important?

A Fraud Data Analyst should have a strong background in data analytics, statistics, and experience with financial or transactional data, often holding a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, R, anti-fraud software platforms, and certifications like Certified Fraud Examiner (CFE) are commonly expected. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and presenting findings to stakeholders. Together, these skills ensure accurate identification and prevention of fraud, helping organizations mitigate risks and maintain trust.

What does a fraud data analyst do?

A Fraud Data Analyst detects and prevents fraudulent activities by analyzing data patterns, identifying suspicious transactions, and developing fraud detection models. They use statistical techniques, machine learning, and data visualization tools to uncover fraud trends and mitigate risks. Their role involves collaborating with fraud prevention teams, financial analysts, and law enforcement to enhance security measures. Additionally, they create reports and dashboards to monitor fraud metrics and improve fraud detection strategies.

What does a typical day look like for a fraud data analyst?

A typical day for a Fraud Data Analyst involves analyzing large sets of financial or transactional data to detect unusual patterns or trends that might indicate fraudulent activity. You may collaborate closely with investigation teams, compliance officers, and IT professionals to refine detection models and respond quickly to potential threats. Weekly responsibilities also include creating detailed reports, documenting findings, and recommending improvements to internal controls or monitoring processes. This dynamic role often requires balancing independent analytical work with cross-functional teamwork to effectively combat fraud.

What are popular job titles related to Fraud Data Analyst jobs in Virginia? For Fraud Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Fraud Data Analyst jobs in Virginia look for? The top searched job categories for Fraud Data Analyst jobs in Virginia are:
Fraud Data Analyst jobs near you
Infographic showing various Fraud Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Fraud Analytics Subject Matter Expert

Elder Research

Arlington, VA • On-site

Full-time

Re-posted 23 days ago

Job description

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 careers@elderresearch.com and provide your name and contact information.

Apply