Remote-First Senior Payments Risk Analyst (AI-Driven)

Coinbase, Inc.; Madison (WI); Hybrid; USD 180,000 - 212,000; Full time

Job summary

Coinbase, Inc. is seeking a Senior Risk Analyst in Payments Risk Operations to own escalations for high-dollar losses and complex cases across deposits, withdrawals, and trading.

You will lead fraud pattern responses, maintain risk controls, and drive AI-assisted investigations with strong evidence-based decisions. You will present findings to Risk leadership and collaborate with Product, Engineering, and Customer Support, coaching analysts to improve accuracy and efficiency.

Qualifications

• 7+ years in payments risk, fraud ops, or investigations with decision authority.
• Deep understanding of ACH, cards, wires, and crypto rails and fraud exposure.
• Proficiency in SQL and on-chain tracing with analytics tools.
• Experience reviewing analyst decisions for quality and SOP adherence.
• Ability to use generative AI with human oversight to improve workflows.

Responsibilities

• Own escalations from Payments Risk Operations and partner teams, including high-dollar losses and high-profile accounts.
• Lead the response to emerging fraud patterns from first detection through root cause analysis and remediation.
• Maintain expert knowledge of review workflows, SOPs, and risk controls as products and threats evolve.
• Drive rule and model performance in partnership with Risk Modeling and Analytics to reduce losses with minimal customer friction.
• Present findings and recommendations to Risk leadership and partners across Product, Engineering, and Customer Support.

Skills

Payments risk

Fraud operations

SQL

On-chain tracing

Generative AI

Tools

Blockchain analytics tools

Job description

Coinbase, Inc. is seeking a Senior Risk Analyst in Payments Risk Operations to own escalations for high-dollar losses and complex cases across deposits, withdrawals, and trading.

You will lead fraud pattern responses, maintain risk controls, and drive AI-assisted investigations with strong evidence-based decisions. You will present findings to Risk leadership and collaborate with Product, Engineering, and Customer Support, coaching analysts to improve accuracy and efficiency.