Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Audit
BI
Compliance @ 3
GenAI
Generative AI @ 3
Leadership @ 3
Python @ 5
SQL @ 5
Security @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Coinbase's Enterprise Risk Management team helps the company identify, understand, and manage risks that could affect its strategy, operations, and customers. This role sits at the intersection of risk, data, and strategy, supporting core enterprise risk management activities while using data and technology to make them more insightful and scalable.
The company is remote-first, but not remote-only, with quarterly in-person working sessions called “surges.”
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, key risk indicators, 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, artificial intelligence, and other available technologies.
- Partner across Finance, Legal, Compliance, Security, Operations, Strategy, and regional teams to understand evolving risks.
- Translate complex analytical findings into concise, executive-ready narratives and recommendations.
Requirements
- 1–4 years of experience in risk analytics, data analytics, business intelligence, financial analysis, or a related analytics discipline.
- 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.
- 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 findings to enterprise-wide risks, opportunities, or decisions.
- Ability to use generative AI responsibly, maintaining human oversight to deliver business-ready outputs and improve workflow efficiency, cost, and quality.
Compensation
- Annual base salary: €77,330–€81,400 EUR, excluding equity and bonus.
- Total compensation may also include equity, bonus eligibility, and benefits including medical, dental, and vision.
Additional Information
- Position ID: P78268.
- Candidates may submit a maximum of three applications within a six-month period.
- Coinbase is an equal opportunity employer and provides reasonable accommodations for applicants with disabilities.
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