Senior Payments Risk Analyst - AI-Driven Investigations

Coinbase, Inc.

Boise (ID)

Hybrid

USD 180,000 - 212,000

Full time

4 days ago
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Job summary

Coinbase, Inc. is seeking a Senior Risk Analyst for Payments Risk Operations to serve as the escalation point for complex risk cases across deposits, withdrawals, trading, and other flagged activity.

You will work with Risk Modeling, Fraud Detection, and Analytics to improve rules, models, and processes while maintaining evidentiary standards. Experience with AI tools and strong stakeholder communication are essential.

Qualifications

  • 7+ years in payments risk, fraud operations, or fraud investigations with decision-making authority.
  • Proficiency in SQL and hands-on experience tracing funds on-chain with blockchain analytics tools.
  • Ability to review analyst decisions for quality and SOP adherence and explain complex risk decisions to technical and non-technical stakeholders.

Responsibilities

  • Own escalations from Payments Risk Operations and partner teams, including high-dollar losses and suspected fraud, making final decisions with clear evidence.
  • Lead the response to emerging fraud patterns from detection to root cause analysis, loss assessment, and remediation.
  • Maintain expert knowledge of review workflows, SOPs, and risk controls as products and threats evolve.
  • Drive rule and model performance with Risk Modeling and Analytics, tuning controls to reduce losses with minimal customer friction.
  • Present findings and recommendations to Risk leadership and cross-functional partners, coaching analysts to improve accuracy and consistency.

Skills

Risk experience
Stakeholder communication
AI tools awareness

Tools

SQL
Blockchain analytics tools

Job description

Coinbase, Inc. is seeking a Senior Risk Analyst for Payments Risk Operations to serve as the escalation point for complex risk cases across deposits, withdrawals, trading, and other flagged activity.

You will work with Risk Modeling, Fraud Detection, and Analytics to improve rules, models, and processes while maintaining evidentiary standards. Experience with AI tools and strong stakeholder communication are essential.

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