Senior Payments Risk Analyst - AI-Powered Fraud & Loss

Coinbase, Inc.; Oregon; Hybrid; USD 180,000 - 212,000; Full time

Job summary

Coinbase is seeking a Senior Risk Analyst for the Payments Risk Operations team. You will act as the escalation point for complex cases across deposits, withdrawals, trading, and other flagged activity, using strong risk controls and data to drive policy improvements.

The role emphasizes AI-supported investigations with human oversight, collaboration with Risk Modeling and Analytics, and clear communication to both technical and non-technical stakeholders.

Qualifications

• 7+ years in payments risk, fraud operations, or fraud investigations.
• Deep understanding of ACH, cards, wires, and crypto payment rails.
• Proficiency in SQL and on-chain tracing with blockchain analytics tools.
• Experience reviewing analyst decisions for SOP adherence and communicating to stakeholders.
• Uses generative AI responsibly with human oversight.

Responsibilities

• Own escalations from Payments Risk Operations and partner teams, including high-dollar losses, suspected fraud rings, and high-profile accounts, making final decisions backed by clear evidence
• Lead the response to emerging fraud patterns from first detection through root cause analysis, loss assessment, and remediation
• Maintain expert knowledge of review workflows, SOPs, and risk controls, keeping them current as products and threats evolve
• Drive rule and model performance measurement in partnership with Risk Modeling and Analytics, tuning controls that reduce losses with minimal customer friction
• Present findings and recommendations to Risk leadership and partners across Product, Engineering, and Customer Support, coaching analysts to improve accuracy and consistency

Skills

SQL

Blockchain analytics

Risk management

Stakeholder communication

Generative AI

Tools

Blockchain analytics tools

Job description

Coinbase is seeking a Senior Risk Analyst for the Payments Risk Operations team. You will act as the escalation point for complex cases across deposits, withdrawals, trading, and other flagged activity, using strong risk controls and data to drive policy improvements.

The role emphasizes AI-supported investigations with human oversight, collaboration with Risk Modeling and Analytics, and clear communication to both technical and non-technical stakeholders.