7 fraud data analyst jobs at 6 companies in Colesville, MD
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Lead Enterprise Fraud Risk Analyst - 90411601 - Washington
Washington or Wilmington or Philadelphia or New York City
$94k-$122k/yrOnsiteFull Time
Amtrak: Operates America's national intercity passenger railroad system.
6+ YOEBachelor's degree (or equivalent) plus 6 years relevant experience; 3+ years hands-on data science/ML analytics; advanced SQL; experience with Tableau or Power BI; Python/R and AI/ML experience preferred; fraud analytics and investigative skills.
United States or San Francisco or New York City or Washington
$245k-$285k/yrHybridFull Time
Anthropic: Developing safe and reliable artificial intelligence systems.
Deep payment-fraud and program-building experience, ability to own fraud & scams enforcement, use data (SQL) to quantify losses, strong written communication, and Bachelor’s degree or equivalent.
Birmingham or Washington or Hyattsville or Kansas City or Philadelphia or Austin or Parkersburg
$106k-$158k/yrHybridFull Time
Bureau of the Fiscal Service: Manages federal government accounting, payments, and public debt.
1+ YOEOne year of GS-12-equivalent experience using cyber tools and data analysis to detect fraud and helping develop and implement controls for investigating financial fraud; U.S. citizenship required.
4+ YOEBachelor's or equivalent, 4+ years experience in data analytics/Trust & Safety/policy/cybersecurity, experience analyzing scams and adversarial AI, SQL proficiency, strong communication and critical thinking.
Knowesis: A consulting firm providing investigative analytics and oversight support to government and partner organizations.
3+ YOE3+ years investigative analysis experience supporting government benefit fraud and financial crimes; proficiency with SQL, Microsoft Excel, Neo4j, i2; experience preparing investigative reports and working with public and non-public data sources.
SQL, Microsoft Excel, Neo4j, i2 Analyst's Notebook
United States or San Francisco or New York City or Washington
$245k-$285k/yrHybridFull Time
Anthropic: Developing safe and reliable artificial intelligence systems.
Experience in trust & safety, fraud, or security operations; subject-matter expertise in account takeover/credential abuse; experience building enforcement/remediation workflows; SQL/data proficiency; strong written communication; bachelor’s degree or equivalent.