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Fraud Detection Jobs in Virginia (NOW HIRING)

BRMi

Fraud Management Specialist

Vienna, VA · On-site

Collaborates with business units and Security to identify fraud trends, improve fraud detection capabilities, resolve fraud cases, and support strategic fraud prevention initiatives. Assists with ...

BRMi

Fraud Management Specialist

Winchester, VA · On-site

Collaborates with business units and Security to identify fraud trends, improve fraud detection capabilities, resolve fraud cases, and support strategic fraud prevention initiatives. Assists with ...

BRMi

Fraud Management Specialist

Vienna, VA · On-site

Collaborates with business units and Security to identify fraud trends, improve fraud detection capabilities, resolve fraud cases, and support strategic fraud prevention initiatives. Assists with ...

BRMi

Fraud Management Specialist

Vienna, VA · On-site

Collaborates with business units and Security to identify fraud trends, improve fraud detection capabilities, resolve fraud cases, and support strategic fraud prevention initiatives. Assists with ...

Koalafi

Fraud Investigator

Richmond, VA · On-site

$61K - $74K/yr

Collaborate across multiple departments, such as Sales, Operations, Fraud Analytics, and Compliance About You (Qualifications) * 2+ years of relevant experience in fraud detection, investigation, or ...

FVCBANK

Fraud Analyst

Manassas, VA · On-site

$70K - $79K/yr

Fraud Analyst Departm ent(s): BSA Department / Manassas Rep orts to: VP Director / BSA & Fraud ... Review periodic reports to detect suspicious activity. * Risk Management: Assess, track, and ...

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Fraud Detection information

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$10

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$26

How much do fraud detection jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for fraud detection in Virginia is $17.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $19.09 per hour, depending on experience, location, and employer.

What is a fraud detection job?

A Fraud Detection job involves identifying and preventing fraudulent activities in financial transactions, online activities, or business operations. Professionals in this role analyze data, monitor transactions, and use advanced tools to detect suspicious behavior. They work closely with risk management teams to develop fraud prevention strategies and ensure compliance with security protocols. Strong analytical skills, attention to detail, and knowledge of fraud detection techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in fraud detection?

To thrive in Fraud Detection, you need strong analytical skills, attention to detail, and a solid understanding of financial systems, often supported by a degree in finance, accounting, or a related field. Familiarity with fraud detection software, databases, and data analysis tools, along with certifications such as Certified Fraud Examiner (CFE), is highly valuable. Outstanding communication, critical thinking, and problem-solving abilities help professionals excel when collaborating across departments or investigating suspicious activities. These skills and qualifications are essential for effectively spotting risks, minimizing financial losses, and ensuring organizational integrity.

What are some common challenges faced by professionals in fraud detection roles?

Professionals in Fraud Detection often face the challenge of keeping up with rapidly evolving fraud tactics and constantly changing regulations. The role can require quick decision-making and meticulous analysis under tight deadlines, especially when investigating transactional anomalies. Collaboration with legal, compliance, and IT teams is common, as fraud prevention typically involves multiple departments working together. Staying updated on new schemes and maintaining vigilance is crucial to successfully protecting an organization from financial loss.

How can I become a fraud detection specialist?

To become a fraud detection specialist, candidates typically need a bachelor's degree in finance, accounting, or a related field, along with strong analytical skills and attention to detail. Relevant experience in finance, banking, or cybersecurity, as well as familiarity with fraud detection tools and data analysis software, is often required. Certifications such as Certified Fraud Examiner (CFE) can enhance job prospects in this field.

How hard is it to become a fraud detection?

Becoming a fraud detection professional typically requires a strong understanding of financial transactions, data analysis skills, and knowledge of fraud schemes. Many roles prefer candidates with a background in finance, cybersecurity, or related fields, along with certifications such as Certified Fraud Examiner (CFE). The difficulty depends on the level of position and prior experience, but developing relevant skills and gaining industry knowledge can facilitate entry into the field.

What qualifications do I need to work in fraud detection?

Fraud detection professionals typically need a bachelor's degree in fields such as finance, accounting, computer science, or related areas. Strong analytical skills, knowledge of fraud schemes, and familiarity with data analysis tools or software are important; certifications like Certified Fraud Examiner (CFE) can also enhance qualifications.

What are popular job titles related to Fraud Detection jobs in Virginia?

For Fraud Detection jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Fraud Detection jobs in Virginia look for?

The top searched job categories for Fraud Detection jobs in Virginia are:

What cities in Virginia are hiring for Fraud Detection jobs?

Cities in Virginia with the most Fraud Detection job openings:

Fraud Detection jobs near you
Infographic showing various Fraud Detection job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $37,226 per year, or $17.9 per hour.

Hybrid Fraud Analytics SME -- Lead Detection & Insights

Elder Research Inc.

Arlington, VA • On-site

$80 - $110/hr

Other

Posted 4 days ago

Job description

Career Opportunities with Elder Research

A great place to work.

Careers At Elder Research

Current job opportunities are posted here as they become available.

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

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.

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