Data Analyst
Core
Own the fraud analytics side of a growing user segmentation system by analyzing behavioral and fraud-related signals to distinguish legitimate users from suspicious activity.
Role type
Data Analyst (Fraud Analytics)
Builds
Fraud detection signals, user segmentation frameworks, and verification strategies (via careerplan.io/jobs/052f937b-2698-4dcd-b8a1-035e695e197c-data-analyst-at-jobgether)
Domain
Fintech / Cybersecurity / User Verification
Deliverable
production ML models
Required skills
Fraud signal design, behavioral analysis, user segmentation, verification strategy, gap assessment, operational controls, analytical investigation, cross-functional collaboration
Preferred skills
Adaptation to evolving fraud tactics, structured problem-solving
Technologies
SQL, Python, Tableau, Snowflake, Looker, Jira, Git, AWS, GCP, Azure
Responsibilities
Review and refine fraud signals to distinguish suspicious activity from legitimate users; Analyze signals such as IP spoofing, VPN usage, and unusual gameplay patterns; Partner with product and data teams to determine verification approaches; Investigate users flagged for manual review and improve review processes; Identify gaps in fraud signals and assess third-party tools; Translate analytical findings into operational fraud controls.
Seniority
Mid-level, hands-on IC
