2

Remote Fraud Analytics Jobs in Reston, VA (NOW HIRING)

Cost Analyst, Mid

Washington, DC ยท On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0245079 Location: Washington,DC,US Share job via: Share Cost ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

CBRN Analyst

Arlington, VA ยท On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0240752 Location: Arlington,VA,US Share job via: Share CBRN Analyst ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

All-Source Analyst

Washington, DC ยท On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0244844 Location: Washington,DC,US Share job via: Share All-Source ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

All-Source Analyst

Washington, DC ยท On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0244846 Location: Washington,DC,US Share job via: Share All-Source ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

All-Source Analyst

Washington, DC ยท On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0244850 Location: Washington,DC,US Share job via: Share All-Source ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

All-Source Analyst

Washington, DC ยท On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0244847 Location: Washington,DC,US Share job via: Share All-Source ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

All-Source Analyst

Washington, DC ยท On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0244851 Location: Washington,DC,US Share job via: Share All-Source ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Acquisition Analyst

Washington, DC ยท On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0234679 Location: Washington,DC,US Share job via: Share Acquisition ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Showing results 41-60

Remote Fraud Analytics information

See Reston, VA salary details

$16

$31

$66

How much do remote fraud analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote fraud analytics in Reston, VA is $31.92, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $35.24 per hour, depending on experience, location, and employer.

What is the difference between Remote Fraud Analytics vs Remote Fraud Prevention Specialist?

AspectRemote Fraud AnalyticsRemote Fraud Prevention Specialist
Primary FocusAnalyzing data to detect and investigate fraud patternsImplementing strategies and actions to prevent fraud
Required SkillsData analysis, statistical tools, fraud detection techniquesRisk assessment, policy enforcement, customer communication
Work EnvironmentData teams, analytics platforms, remote data analysisCustomer service, compliance teams, remote monitoring
Common CertificationsCertified Fraud Examiner (CFE), data analysis certificationsCertified Fraud Examiner (CFE), security certifications

Remote Fraud Analytics focuses on analyzing data to identify potential fraud activities, while Remote Fraud Prevention Specialist works proactively to prevent fraud through policy enforcement and customer engagement. Both roles often collaborate but serve different stages of fraud management.

What are popular job titles related to Remote Fraud Analytics jobs in Reston, VA? For Remote Fraud Analytics jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Fraud Analytics jobs in Reston, VA look for? The top searched job categories for Remote Fraud Analytics jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Fraud Analytics jobs? Cities near Reston, VA with the most Remote Fraud Analytics job openings:

Graph Data Scientist

Magnus Management Group LLC

Washington, DC โ€ข Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

We are seeking a Graph Data Scientist to develop advanced graph analytics supporting fraud investigations across complex federal programs. The successful candidate will leverage Neo4j, graph algorithms, and machine learning to identify hidden relationships, organized fraud rings, and emerging fraud patterns.
Responsibilities:
  • Shall have three (3) or more years of hands-on experience using Neo4j or a similar graph database and fluency in Cypher, or similar query language, to detect potential fraud using leading edge techniques and best practices. 
  • Must have a deep understanding of network typology, centrality measures, community detection, and shortest path algorithms; using a multitude of public and nonpublic data sources. 
  • Must have three (3) or more years of hands-on experience in statistical and machine learning foundations, clustering, classifiers and anomaly detection as applied to graph structured data. 
  • Must have three (3) or more years of hands-on experience applying graph methods to fraud detection and knowledge graphs. 
  • Should have experience designing, implementing, and optimizing graph data pipelines, data models, and schemas that support large‑scale, high‑complexity networks, preferably within large federal benefit programs. 
  • Should have strong Python skills using standard machine learning libraries are required. 
Minimum Qualifications
  • Minimum 3 years using Neo4j or similar graph database. 
  • Minimum 3 years developing graph analytics for fraud detection. 
  • Experience with Cypher query language. 
  • Strong Python programming skills. 
  • Experience with graph algorithms including: 
    • Community Detection 
    • Centrality Measures 
    • Shortest Path 
    • Link Analysis 
    • Network Topology 
  • Experience with machine learning applied to graph data. 

This is a remote position.