5 fraud operations analyst jobs at 5 companies in Washington
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Fraud and Abuse Operations Analyst
San Francisco or New York City or Seattle or Raleigh or Washington or London or Amsterdam
$138k-$163k/yrHybridFull Time
Plaid: Provides financial data connectivity and payment infrastructure via APIs.
3+ YOE3+ years in fraud/abuse operations, trust & safety, or incident response; experience with incident triage, investigations, stakeholder escalation, SQL, threat modeling, and communicating with Legal/Compliance.
Austin or San Francisco or New York City or Seattle or Los Angeles or Chicago or Gurugram or Bengaluru or United States
$180k-$240k/yrRemoteFull Time
SentiLink: Provides identity verification and fraud prevention for financial institutions.
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.
Kalispell or Billings or Bozeman or Helena or Missoula or Phoenix or Denver or Boise or Reno or Layton or Spokane or Addison or Evanston
$25/hrOnsiteFull Time
Glacier BancorpNYSE: GBCI: Regional bank holding providing commercial and consumer banking services.
3+ YOEAssociate degree in accounting, finance, business, criminology, or law; 3 years of banking experience in levy, garnishment, or subpoena processing; financial regulation and Microsoft Office proficiency required.
Microsoft Excel, Microsoft Word, Microsoft PowerPoint, Microsoft Outlook, Adobe, Internet Browsers, ACH
HCLTechNational Stock Exchange of India: HCLTECH: Global provider of information technology services and software consulting.
7+ YOERequires 7–10 years as a business analyst in banking, payments, or fintech; fraud detection and payment platform expertise; Agile delivery experience; JIRA, Confluence, Azure DevOps; and a relevant bachelor's degree.
JIRA, Confluence, Azure DevOps, APIs, Agile, Scrum, ML
TikTok: Global short-form video hosting and social media platform.
2+ YOE2+ years in operations/investigations or risk related to fraud; strong SQL, AI/model literacy, investigative and strategic decision-making skills; ability to interpret ML metrics and work cross-functionally.