divh2Senior Fraud Investigations Analyst/h2pMcLean, Virginia/ph3Company Overview/h3pID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.mes technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to No Identity Left Behind to enable all people to have a secure digital identity./ph3Role Overview/h3pID.me is looking for a Senior Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role is responsible for leading investigations into account takeover (ATO) activity, identifying fraud patterns at scale, and strengthening detection strategies./ppWe are seeking a highly skilled analyst who can independently analyze large datasets, uncover coordinated fraud campaigns, and drive improvements in detection systems. This role requires moving beyond case-by-case investigation into trend analysis, signal development, and data-driven decision making./ppThis role is based out of our McLean, VA office and requires full-time in-office attendance./ph3Responsibilities/h3ulliLead complex account takeover (ATO) investigations, including multi-account and organized fraud activity/liliAnalyze large datasets using SQL, Python, or similar tools to identify trends, anomalies, and attack patterns/liliUse fraud detection tools, machine learning outputs, and risk-scoring systems to drive high-quality investigations/liliIndependently own investigations from detection through resolution, including clear documentation and recommendations/liliIdentify gaps in detection logic and contribute to improvements in rules, models, and workflows/liliPartner with engineering, data, and product teams to enhance fraud detection capabilities and signal quality/liliAct as an escalation point for high-severity or ambiguous fraud cases/liliDevelop and refine investigation playbooks and analytical approaches for ATO detection/liliSupport reporting and analysis of fraud trends, detection performance, and operational metrics/liliLeverage AI/LLM tools to analyze large datasets, identify fraud patterns, and improve investigation speed and accuracy while validating outputs against source data/li/ulh3Basic Qualifications/h3ulliBachelors degree from an accredited institution; strong preference for quantitative fields such as Economics, Computer Science, Statistics, Mathematics, or similar/lili4+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with a focus on account takeover (ATO) attacks (typically 48 years total experience; candidates should have lt;10 years overall)/lili2+ years of experience using SQL, Python, or similar tools to analyze data and drive investigations/lili2+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies/lili2+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data/liliDemonstrated experience analyzing fraud trends beyond individual case investigations (e.g., pattern detection, ring analysis)/liliExperience using AI/LLM tools to enhance data analysis and investigations, with demonstrated ability to validate and apply outputs effectively/li/ulh3Preferred Qualifications/h3ulliExperience at a fintech company, technology company, or reputable financial institution/liliStrong experience analyzing organized fraud rings or large-scale ATO campaigns/liliExperience influencing fraud detection logic, models, or rule systems/liliFamiliarity with AI/ML techniques applied to fraud detection and risk analysis/liliAbility to translate analytical findings into actionable improvements for product, engineering, or risk systems/li/ul/div
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