Senior Identity Risk & Scam Analytics Lead

Coinbase, Inc.; Lincoln (NE); Hybrid; USD 167,000 - 197,000; Full time

Benefits offered by this job

Equity

Bonus eligibility

Medical insurance

Dental insurance

Vision insurance

401(k)

Job summary

Coinbase seeks a Senior Analyst in Risk Analytics to own ATO and scam risk controls across the Coinbase ecosystem. You will define metrics, build dashboards, and partner with Product, Engineering, and Data Science to stay ahead of evolving threats.

You will synthesize data into actionable recommendations, monitor fraud indicators, and guide leadership decisions with rigorous analysis. This is a remote-first environment with quarterly in-person surges.

Qualifications

• 6+ years of risk experience in ecommerce or financial services with at least 2 years on ATO/scam prevention.
• 2+ years of data analysis experience using SQL and Python with large datasets.
• Experience building dashboards and reporting with BI tools (Tableau, Looker, Superset).
• Proven ability to drive cross-functional analytics projects with product, engineering and data science.

Responsibilities

• Own end-to-end risk controls for ATO and scam prevention as the business grows.
• Define risk metrics, build reporting frameworks, and drive improvements.
• Use data to assess risk and inform decisions affecting large customer segments.
• Partner with product, engineering and data science to develop risk strategies.
• Translate data findings into narratives that influence senior leaders.
• Investigate and mitigate fraudulent and scam activities via alerts and reviews.

Skills

Risk analytics

ATO risk

Fraud prevention

SQL

Python

BI dashboards

Data visualization

Cross-functional collaboration

Tools

SQL

Python

Tableau

Looker

Superset

Job description

Coinbase seeks a Senior Analyst in Risk Analytics to own ATO and scam risk controls across the Coinbase ecosystem. You will define metrics, build dashboards, and partner with Product, Engineering, and Data Science to stay ahead of evolving threats.

You will synthesize data into actionable recommendations, monitor fraud indicators, and guide leadership decisions with rigorous analysis. This is a remote-first environment with quarterly in-person surges.