5 fraud analyst jobs at 5 companies in Sumner, WA
2mo
Save
Mark Applied
Hide
Head of Fraud Intelligence
Austin or San Francisco or New York City or Seattle or Los Angeles or Chicago or Gurugram or Bengaluru or United States
$180k-$240k/yr RemoteFull Time
8+ YOE4+ Mgmt8+ years in fraud operations/intelligence or related domain, 4+ years managing fraud analysts, strong operational rigor, analytics and technical fluency, experience with AI/automation and talent development.
3d
Save
Mark Applied
Hide
AGO Senior Investigator/Analyst (Internal Only) | Medicaid Fraud & Abuse Division | Olympia
Olympia or Thurston County or Spokane or Seattle
$82k-$111k/yr HybridFull Time
10+ YOEBachelor's degree plus 10 years conducting independent civil or criminal investigations, or 5 years as an AGO Investigator/Analyst; additional investigative experience may substitute for education.
NEOGOV, E-Verify, Microsoft Outlook
2mo
Save
Mark Applied
Hide
Intelligence Analyst II, Buyer Threat Intelligence Unit
Seattle, Washington, United States
$83k-$130k/yr OnsiteFull Time
5+ YOE5+ years in cyber threat intelligence, fraud investigations, or risk analysis; OSINT methods; knowledge of fraud ecosystems.
Flashpoint, Maltego, Recorded Future
1w
Save
Mark Applied
Hide
Risk Data Analyst, Staff
United States or San Jose or Draper or New York City or Seattle or Los Angeles County or Massachusetts or Austin or Utah or Dallas or Houston or Florida or North Carolina or Illinois or Colorado or Arizona or Georgia or Oregon or Pennsylvania
$135k-$191k/yr HybridFull Time
8+ YOEBachelor's degree in a technical field and 8 years of analytics or data science experience, or 5+ years with a master's degree. Requires SQL pipeline engineering, BI tools, risk and fraud data, and insight presentation.
SQL, dbt, Tableau, DataVisor, Salesforce, Zendesk
4d
Save
Mark Applied
Hide
Research and Development Analyst, Trust and Safety Monetization
Kirkland, Washington, United States
$132k-$189k/yr OnsiteFull Time
2+ YOEBachelor's degree or equivalent experience, 2 years in data analysis, and 2 years in statistical modeling or fraud and risk management. Requires strong communication, collaboration, problem-solving, and critical-thinking skills.
Machine Learning, Artificial Intelligence