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Assistant Fraud Analytics Jobs (NOW HIRING)

Avant LLC

Sr Associate, Fraud Analytics

Chicago, IL · On-site

$100K - $130K/yr

Strategize on building models and assist with deployments into production. * Doing ad-hoc analysis ... fraud experience preferred) * 5+ years of experience leveraging data tools such as SQL, R, Python ...

Purple Drive Technologies

Fraud Analyst

San Antonio, TX · On-site

Notably| fraud analysts are often called upon to assist with more traditional incidents and cases| including false identifications or fake claims. Highly motivated and detail-oriented Fraud Analyst ...

Ardent

Cybersecurity Analytics Lead

Washington, DC · On-site

Perform log analysis, data correlation, and investigation of cybersecurity or fraud-related events. * Assist with development of analytical reports, briefings, and operational documentation.

Avidbank

Fraud Specialist

San Jose, CA · On-site

The Fraud Specialist independently performs fraud analytics, transaction monitoring, and ... * Assist with the development and enhancement of fraudrelated policies, procedures, and risk ...

MRISpokane

Payments Fraud Analyst

Riverside, CA

Track fraud losses, trends, and operational metrics * Assist with fraud reporting, audits, and ... Fraud Analyst * Fraud Operations Specialist * Electronic Fraud Specialist * Deposit Operations ...

Midwest Bank

Fraud Analyst

Norfolk, NE · On-site

Ensure all activities align with regulatory requirements and internal policies * Assist with fraud ... Strong analytical, organizational, and communication skills. * Excellent communication, analytical ...

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How much do assistant fraud analytics jobs pay per year?

As of May 30, 2026, the average yearly pay for assistant fraud analytics in the United States is $47,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $52,000.00 per year, depending on experience, location, and employer.
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Assistant Fraud Analytics jobs near you
Fraud Analytics Subject Matter Expert

Fraud Analytics Subject Matter Expert

Elder Research

Arlington, VA • Hybrid

Other

Posted 10 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