Fraud Operations Analyst
Core
Review suspicious transactions and user behaviors flagged by automated systems to block fraud or clear false positives, while monitoring trends to evolve fraud policies.
Role type
Fraud Operations Analyst (manual review & investigation)
Builds
Fraud prevention mechanisms, rules, and detection systems for a fintech installment payment platform
Domain
Fintech / Payments / Fraud Prevention
Deliverable
production ML models | product features
Required skills
Fraud investigation, data analysis, SQL, Python/R/SAS, large language model (LLM) tools usage, policy development, SLA management
Preferred skills
Fintech/payments/lending experience, statistics/math/finance degree, graduate degree
Technologies
SQL, Python, R, SAS, Claude (LLM)
Responsibilities
Monitor real-time transactions for fraud and abuse; investigate flagged transactions using internal policies; analyze account patterns via data; research fraud trends to improve detection systems; collaborate with data scientists and engineers; maintain SLAs for case resolution.
Seniority
Entry-level to Junior (1+ years experience required)
