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Fraud Detection Jobs (NOW HIRING)

Oversee all non-card fraud detection, investigation, dispute resolution, and loss-mitigation activities across Digital Banking, ACH origination, wire transfers, internal member-to-member transfers ...

Oversee all non-card fraud detection, investigation, dispute resolution, and loss-mitigation activities across Digital Banking, ACH origination, wire transfers, internal member-to-member transfers ...

Oversee all non-card fraud detection, investigation, dispute resolution, and loss-mitigation activities across Digital Banking, ACH origination, wire transfers, internal member-to-member transfers ...

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Fraud Detection information

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How much do fraud detection jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for fraud detection in the United States is $18.05, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.23 per hour, depending on experience, location, and employer.

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.

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 the Fraud Detection position, and why are they important?

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.

More about Fraud Detection jobs
What cities are hiring for Fraud Detection jobs? Cities with the most Fraud Detection job openings:
What are the most commonly searched types of Fraud Detection jobs? The most popular types of Fraud Detection jobs are:
What states have the most Fraud Detection jobs? States with the most job openings for Fraud Detection jobs include:
Infographic showing various Fraud Detection job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $37,548 per year, or $18.1 per hour.
Fraud Analytics Subject Matter Expert

Fraud Analytics Subject Matter Expert

Elder Research

Arlington, VA • Hybrid

Other

Posted 24 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.