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Salary: EUR 77,330 - 81,400 / annual
Coinbase's Enterprise Risk Management team is seeking an analyst to sit at the intersection of risk, data, and strategy. You will support core ERM activities by using data and technology to make risk analysis more insightful and scalable. The role involves analyzing risk information, identifying emerging risk patterns and signals, improving GRC data quality, supporting risk tooling and automation, and translating analysis into clear insights that help leaders make better risk-informed decisions.
Key Responsibilities:
- Analyze large, complex, and sometimes unstructured datasets to identify trends, anomalies, correlations, concentrations, and emerging enterprise risk signals.
- Build repeatable analytical methodologies, dashboards, metrics, and visualizations that improve how Coinbase understands and monitors enterprise risk.
- Connect information across risk assessments, incidents, KRIs, audit findings, regulatory developments, business performance, and external signals to develop an integrated view of risk.
- Investigate changes in risk indicators, challenge assumptions, identify underlying drivers, and distinguish meaningful signals from noise.
- Automate recurring analysis, data preparation, and reporting using SQL, Python, AI, and other available technologies.
- Partner across Finance, Legal, Compliance, Security, Operations, Strategy, and regional teams to understand evolving risks and translate complex analytical findings into concise, executive-ready narratives and recommendations.
Coinbase is a remote-first company with quarterly in-person working sessions called "surges." The company is uncompromising on its mission to increase economic freedom, with a high bar and intense environment.
Requirements:
- 1–4 years of experience in risk analytics, data analytics, business intelligence, financial analysis, or a related analytics discipline, with demonstrated ability to extract, clean, join, and analyze complex datasets.
- Proficiency in SQL and working experience with Python or comparable analytical tools for data manipulation and analysis.
- Demonstrated ability to move from an ambiguous business question to a structured analytical approach and actionable conclusion, including independently investigating unexpected results.
- Ability to translate analytical findings into clear risk insights for leadership and cross-functional stakeholders, connecting how findings relate to enterprise-wide risk, opportunities, or decisions.
- Ability to utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
