Fraud Data Analyst
Core
Analyze global real-time fraud data to optimize detection solutions, reduce false positives, and mitigate risk for enterprise customers in financial services, insurance, and e-commerce.
Role type
Fraud Data Analyst
Builds
Real-time fraud detection policies, dashboards, and executive reports for enterprise clients
Domain
Financial Services / Risk Management / Fraud Detection
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, statistical analysis, rule mining, root cause analysis, data visualization, executive reporting
Preferred skills
BI tools (SuperSet, Tableau, PowerBI), fraud system management experience (ThreatMetrix, Actimize, etc.), consulting experience, multi-language fluency
Technologies
SQL, Python, ThreatMetrix, SuperSet, Tableau, PowerBI
Responsibilities
Investigate complex fraud cases to identify trends and actionable insights; Use SQL and Python to tune policies and reduce false positives; Build dashboards and reports to track solution value; Deliver executive-level presentations to non-technical audiences; Scope and deliver customer-focused projects including rule mining and health checks; Collaborate with product, engineering, and sales teams to redefine best practices
Seniority
Mid-level, hands-on IC