Remote-First Senior Risk Analyst ATO & Scam Prevention

Coinbase, Inc.; Augusta (ME); Remote; USD 167,000 - 197,000; Full time

Job summary

Coinbase is seeking a Senior Analyst on the Risk Analytics team to own end-to-end 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.

The role emphasizes data-driven decision making, scaling risk processes, and communicating insights to leadership, with a remote-first, in-person surge model for quarterly sessions.

Qualifications

• 6+ years hands-on risk experience in e-commerce or financial services.
• 2+ years of data analysis using SQL and Python.
• Proficiency with BI tools to build dashboards and reporting frameworks.
• Ability to independently scope and deliver analytics projects cross-functionally.
• Familiarity with blockchain analytics and crypto fraud trends.
• Uses generative AI responsibly with human oversight.

Responsibilities

• Own end-to-end risk controls for ATO and scam prevention.
• Define risk metrics and reporting frameworks.
• Leverage data to assess risk and inform decisions affecting large customer segments.
• Partner with Product, Engineering, and Data Science on risk strategies.
• Synthesize findings into narratives influencing senior leadership.
• Investigate fraudulent activities by reviewing alerts and anomalies.

Skills

Risk analytics

SQL

Python

BI dashboards

Cross-functional

Blockchain analytics

Generative AI

Tools

Tableau

Looker

Superset

Job description

Coinbase is seeking a Senior Analyst on the Risk Analytics team to own end-to-end 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.

The role emphasizes data-driven decision making, scaling risk processes, and communicating insights to leadership, with a remote-first, in-person surge model for quarterly sessions.