Risk Operations Analyst ensuring fraud prevention and operational integrity in fast-moving fintech startup. Utilizing SQL and statistical skills for fraud detection and compliance reporting.
Responsibilities
Review daily transactions to identify potential fraud, manufactured spend, or high-risk patterns across merchant categories, user behavior, and funding sources.
Partner with the Risk and Data teams to refine our internal Risk Score model; use SQL and statistical models to detect anomalies, trends, or exposure spikes.
Support chargeback and dispute analysis efforts; compile documentation and track dispute outcomes to improve our win rate.
Collaborate with fintech and banking partners to escalate and resolve risk events, KYC/AML alerts, and fraud signals.
Work with Product and Compliance to meet reporting requirements through accurate, timely, and audit-ready data.
Design and tune platform rules (e.g. velocity limits, merchant blocks, IP/geolocation rules) to proactively mitigate fraud and reduce exposure.
Draft warning or education emails for users exhibiting risky behavior, balancing compliance clarity with empathetic communication.
Requirements
Proficiency in SQL and comfort working with large datasets.
Strong grasp of statistics and data interpretation.
Familiarity with RESTful APIs.
Strong analytical skills (comfortable in Sheets, SQL, or dashboard tools like Metabase).
Experience in fraud prevention, payments, or fintech risk operations preferred. But willing to teach as well.
Ability to balance detail-oriented review with fast decision-making under pressure.
Clear communicator who can synthesize data into actionable insights for leadership.
Collaborative mindset and willing to work across Risk, Customer Success, and Engineering.
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