Remote-First Senior Identity Risk & Scam Architect

Coinbase, Inc.; Juneau (AK); Remote; USD 167,000 - 197,000; Full time

Job summary

Coinbase, Inc. is seeking a Senior Analyst in Risk Analytics to own and scale controls for account takeover and scam prevention across the Coinbase ecosystem.

You will define risk metrics, build reporting, and partner with Product, Engineering, and Data Science to stay ahead of evolving threats. You will synthesize data findings into clear narratives for senior risk and product leadership, and investigate fraudulent activity by reviewing alerts on anomalous customer behavior.

Qualifications

• 6+ years of hands-on risk experience in e-commerce or financial services, with focus on ATO/scam prevention.
• 2+ years of data analysis experience using SQL and Python with large datasets.
• Proficient in BI tools to build dashboards and reporting frameworks.
• Ability to work cross-functionally with Product, Engineering, and Data Science teams.
• Familiarity with blockchain analytics and crypto risk trends.
• Responsible use of generative AI with human oversight.

Responsibilities

• Own end-to-end risk controls for account takeover and scam prevention.
• Define risk metrics and reporting frameworks; drive continuous improvements.
• Analyze data to assess risk and support decisions impacting large user segments.
• Collaborate with Product, Engineering, and Data Science to build risk strategies.
• Synthesize findings into narratives for senior leadership decisions.
• Investigate and mitigate fraudulent activities by reviewing alerts and patterns.

Skills

Risk analytics experience

SQL and Python data analysis

BI/data visualization tools

Cross-functional collaboration

Blockchain analytics familiarity

Responsible use of generative AI

Tools

Tableau

Looker

Superset

Job description

Coinbase, Inc. is seeking a Senior Analyst in Risk Analytics to own and scale controls for account takeover and scam prevention across the Coinbase ecosystem.

You will define risk metrics, build reporting, and partner with Product, Engineering, and Data Science to stay ahead of evolving threats. You will synthesize data findings into clear narratives for senior risk and product leadership, and investigate fraudulent activity by reviewing alerts on anomalous customer behavior.