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Salary: USD 167,280 - 196,800 / annual
Coinbase is seeking a Senior Risk Analyst to join the Risk Analytics team within the Consumer & Business group. In this high-impact role, you will own the identification and mitigation of account takeover (ATO) and scam risk across the Coinbase ecosystem, protecting millions of users and maintaining platform integrity.
You will be responsible for end-to-end risk controls for ATO and scam prevention, scaling processes as the business expands into new products and regions. Key responsibilities include defining risk success metrics, building reporting frameworks, and driving continuous improvement by identifying and prioritizing control enhancements. You will leverage data to assess risk and make decisions impacting large customer segments, measuring and quantifying associated tradeoffs through rigorous analysis.
You will partner cross-functionally with Product, Engineering, and Data Science teams to develop custom risk management strategies and techniques across the Coinbase product suite. You will synthesize data findings into clear narratives and recommendations that influence senior risk and product leadership decisions. Additionally, you will investigate and mitigate fraudulent and scam activities by reviewing alerts on anomalous customer and transaction behavior.
Coinbase is a remote-first company with quarterly in-person working sessions called "surges." The environment is intense and mission-driven, focused on increasing economic freedom in the financial system.
REQUIREMENTS:
- 6+ years of hands-on risk experience in e-commerce or financial services, with at least 2 years focused on combating ATO and scams in a Fraud, Trust and Safety, or Account Security function
- 2+ years of professional experience in data analysis using SQL and Python, including working with large-scale databases
- Proficiency with business intelligence and data visualization tools (e.g., Tableau, Looker, Superset) to build dashboards and reporting frameworks
- Proven ability to independently scope and deliver analytics projects while collaborating cross-functionally with Product, Data Science, and Engineering teams
- Familiarity with blockchain analytics and fraud trends within the cryptocurrency ecosystem
- Ability to utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
