Senior Payments Risk Analyst - AI-Driven Fraud Ops

Coinbase, Inc.; Los Angeles (CA); Hybrid; USD 180,000 - 212,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision benefits

401(k)

Job summary

Coinbase, Inc. is seeking a Senior Risk Analyst on the Payments Risk Operations team to own escalations for high-dollar losses and high-profile accounts, using evidence-based decisions built on experience across risk workflows.

You'll work AI-native from day one, collaborating with Risk Modeling, Fraud Detection, and Analytics to improve rules, models, and policies while maintaining rigorous oversight and clear communication with product and engineering teams.

Qualifications

• 7+ years in payments risk, fraud operations, or investigations.
• Deep understanding of ACH, cards, wires, and crypto rails.
• Proficiency in SQL and on-chain tracing with analytics tools.
• Experience reviewing analyst decisions 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.
• 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

Payments risk

Fraud operations

Fraud investigations

SQL

Blockchain analytics

Stakeholder communication

Job description

Coinbase, Inc. is seeking a Senior Risk Analyst on the Payments Risk Operations team to own escalations for high-dollar losses and high-profile accounts, using evidence-based decisions built on experience across risk workflows.

You'll work AI-native from day one, collaborating with Risk Modeling, Fraud Detection, and Analytics to improve rules, models, and policies while maintaining rigorous oversight and clear communication with product and engineering teams.