Fraud Operations Analyst
Core
Monitor real-time transactions and customer behaviors flagged for fraud, investigate suspicious activity, and block fraudulent users or clear false positives.
Role type
Fraud Operations Analyst
Builds
Fraud prevention mechanisms, processes, and tools
Domain
Fintech, payments, eCommerce
Deliverable
production ML models
Required skills
Fraud investigation, data analysis, SQL, Python, R, SAS, large language model tools (e.g., Claude), policy development, SLA management
Preferred skills
Fintech/payments/lending experience, statistics/math/finance/economics degree, graduate degree
Technologies
SQL, Python, R, SAS, Claude
Responsibilities
Monitor real-time transactions and customer behaviors flagged for fraud and abuse for manual review; Investigate individual transactions using internal policies and review methodologies; Understand systems and tools; investigate account patterns through data analysis; Research fraud and user behavior to contribute to machine learning models, rules and other detection systems; Collaborate with analysts, operations specialists, data scientists and engineering to improve fraud prevention mechanisms; Maintain or exceed established service level agreements (SLAs) for timely resolution of queued cases
Seniority
Entry-level, hands-on IC
