Data Analyst
Core
Analyze behavioral and fraud-related signals to distinguish legitimate users from suspicious activity, supporting product decisions and user verification strategies.
Role type
Data Analyst (Fraud Analytics)
Builds
Fraud detection signals, user segmentation frameworks, and verification controls
Domain
Fintech / Cybersecurity / User Verification
Deliverable
production ML models
Required skills
Fraud signal design, behavioral analysis, user segmentation, verification strategy, gap analysis, operational controls
Preferred skills
Third-party tool assessment, review process optimization
Technologies
SQL, Python, Tableau, Snowflake, Looker
Responsibilities
Review and refine fraud signals to distinguish suspicious activity; Analyze indicators like IP spoofing and VPN usage; Own fraud components of the user segmentation system; Partner with product teams on verification approaches; Investigate ambiguous cases flagged for manual review; Identify gaps in fraud signals and assess third-party tools; Translate findings into operational fraud controls
Seniority
Mid-level, hands-on IC (via careerplan.io/jobs/f542c60f-e8ba-4125-bb7b-5515e4ccd0eb-data-analyst-at-jobgether)
