Fraud Monitoring Analyst
Core
Monitor, analyze, and investigate interactions to identify suspicious behavior or attempted fraudulent access to consumer-facing systems using machine learning and automation.
Role type
Fraud Monitoring Analyst (Security Operations)
Builds
Next-generation fraud monitoring tooling and AI-driven detection solutions
Domain
Financial Services / Cybersecurity / Fraud Prevention
Deliverable
production ML models | dashboards & analysis
Required skills
Fraud detection, data analysis, AI/ML familiarity, automation tools, scripting (Python/SQL/Excel), pattern recognition, data system leverage
Preferred skills
Data Analytics, Data Science, defining activity patterns
Technologies
Python, SQL, Excel, Google spreadsheets, AI/ML frameworks
Responsibilities
Review transactions to identify fraudulent access, implement automation in manual workflows, review security monitoring systems for suspicious patterns, tune AI-driven fraud models, investigate escalations of inappropriate access, establish reporting on analysis improvements
Seniority
Mid-level, hands-on IC