Senior Risk Analytics: ATO & Scam Defense (Remote)

Coinbase, Inc.; Topeka (KS); Hybrid; USD 167,000 - 197,000; Full time

Job summary

Coinbase, Inc. is seeking a Senior Analyst for Risk Analytics to own risk controls for ATO and scams across our ecosystem. You will define metrics, build dashboards, and partner with Product, Engineering, and Data Science to stay ahead of threats.

You will analyze large datasets using SQL and Python, leveraging BI tools to create actionable insights for major customer segments. This role emphasizes data-driven risk decisions and scalable processes.

Qualifications

• 6+ years of hands-on risk experience in e-commerce or financial services, with at least 2 years focused on ATO and scams.
• 2+ years of professional experience in data analysis using SQL and Python.
• Proficiency with BI tools (Tableau, Looker, Superset) to build dashboards and reporting.
• Experience collaborating cross-functionally with Product, Engineering, and Data Science.
• Familiarity with blockchain analytics and fraud trends in crypto.
• Uses Generative AI responsibly with human oversight.

Responsibilities

• Own end-to-end risk controls for ATO and scam prevention, scaling coverage as products/regions grow.
• Define risk metrics, build reporting frameworks, drive improvements.
• Leverage data to assess risk and inform decisions impacting large user segments.
• Partner with Product, Engineering, and Data Science to develop risk strategies.
• Synthesize data findings into narratives for senior leadership.
• Investigate and mitigate fraudulent activities by reviewing alerts.

Skills

Risk analytics

SQL

Python

BI tools

Cross-functional collaboration

Blockchain analytics

Generative AI awareness

Tools

Tableau

Looker

Superset

Job description

Coinbase, Inc. is seeking a Senior Analyst for Risk Analytics to own risk controls for ATO and scams across our ecosystem. You will define metrics, build dashboards, and partner with Product, Engineering, and Data Science to stay ahead of threats.

You will analyze large datasets using SQL and Python, leveraging BI tools to create actionable insights for major customer segments. This role emphasizes data-driven risk decisions and scalable processes.