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Weekend Digital Fraud Investigator Jobs (NOW HIRING)

ID.me is a next-generation digital identity wallet that allows individuals to securely prove their identity online. They are seeking a Senior Fraud Investigations Analyst responsible for leading ...

Conduct thorough investigations into internal and external fraud, identity theft, counterfeit items ... WORK SCHEDULE: * Available during evenings, weekends, and holidays in emergency or urgent ...

Leads end-to-end wireless fraud prevention, detection, and investigation across retail and digital ... channels, ensuring strong revenue protection while enabling customer experience. * Owns fraud rule ...

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As of Jul 17, 2026, the average hourly pay for weekend digital fraud investigator in the United States is $30.83, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $35.34 per hour, depending on experience, location, and employer.
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Senior Fraud Investigations Analyst

Senior Fraud Investigations Analyst

ID.me

Mclean, VA • On-site

Full-time

Re-posted 4 days ago


ID.me rating

5.6

Company rating: 5.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

195th of 209 rated software companies


Job description

Job Summary:
ID.me is a next-generation digital identity wallet that allows individuals to securely prove their identity online. They are seeking a Senior Fraud Investigations Analyst responsible for leading investigations into account takeover activities, identifying fraud patterns, and enhancing detection strategies through data analysis and collaboration with various teams.
Responsibilities:
• Lead complex account takeover (ATO) investigations, including multi-account and organized fraud activity
• Analyze large datasets using SQL, Python, or similar tools to identify trends, anomalies, and attack patterns
• Use fraud detection tools, machine learning outputs, and risk-scoring systems to drive high-quality investigations
• Independently own investigations from detection through resolution, including clear documentation and recommendations
• Identify gaps in detection logic and contribute to improvements in rules, models, and workflows
• Partner with engineering, data, and product teams to enhance fraud detection capabilities and signal quality
• Act as an escalation point for high-severity or ambiguous fraud cases
• Develop and refine investigation playbooks and analytical approaches for ATO detection
• Support reporting and analysis of fraud trends, detection performance, and operational metrics
• Leverage AI/LLM tools to analyze large datasets, identify fraud patterns, and improve investigation speed and accuracy while validating outputs against source data
Qualifications:
Required:
• Bachelor’s degree from an accredited institution; strong preference for quantitative fields such as Economics, Computer Science, Statistics, Mathematics, or similar
• 4+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with a focus on account takeover (ATO) attacks (typically 4–8 years total experience; candidates should have <10 years overall)
• 2+ years of experience using SQL, Python, or similar tools to analyze data and drive investigations
• 2+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies
• 2+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data
• Demonstrated experience analyzing fraud trends beyond individual case investigations (e.g., pattern detection, ring analysis)
• Experience using AI/LLM tools to enhance data analysis and investigations, with demonstrated ability to validate and apply outputs effectively
Preferred:
• Experience at a fintech company, technology company, or reputable financial institution
• Strong experience analyzing organized fraud rings or large-scale ATO campaigns
• Experience influencing fraud detection logic, models, or rule systems
• Familiarity with AI/ML techniques applied to fraud detection and risk analysis
• Ability to translate analytical findings into actionable improvements for product, engineering, or risk systems
Company:
ID.me is a digital identity wallet that allows users to securely prove their identity online. Founded in 2010, the company is headquartered in Mclean, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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