Middle Enterprise Risk Management Analyst

Title: Enterprise Risk Management Analyst Location: Remote - Luxembourg

Coinbase's Enterprise Risk Management team helps the company identify, understand, and manage risks that could affect our strategy, operations, and customers. As an Enterprise Risk Management Analyst, you'll sit at the intersection of risk, data, and strategy, supporting core ERM activities while using data and technology to make them more insightful and scalable. You'll analyze risk information, identify emerging risk patterns and signals, improve GRC data quality, support risk tooling and automation, and translate analysis into clear insights that help leaders make better risk-informed decisions.

What you'll do:

• 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.

Required Skills and Experience:

• 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.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Position ID: P78268

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