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Staff ML Risk Analyst
CoinbaseStaff ML Risk Analyst at Coinbase defining ML strategies for fraud detection and collaborating with cross-functional teams. Focus on applying ML insights to prevent fraud activities.
ATS Keywords
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Hard Skills
machine learning analyticsdata sciencefeature engineeringSparkPythonbig data MLfeature quality validationpipeline buildinganalytical insights translationfraud detection
Soft Skills
cross-functional collaborationtechnical direction settinginstitutional knowledge resource
Industry Keywords
risk managementfraud preventionpaymentsML industry evolutionfeature stores
Tech Stack
Tools & technologiesPythonSpark
About the role
Key responsibilities & impact- Define the ML data and feature strategy for fraud detection
- Own the end-to-end feature engineering pipeline identifying, building, validating and promoting features that drive measurable improvements
- Diagnose gaps between current tooling infrastructure and the solutions needed
- Partner with Machine Learning Engineers to translate analytical insights into production-ready ML systems
- Set technical direction for the ML Analytics function
- Partner cross-functionally with Product Managers and Risk analysts to surface fraud signals
- Serve as the team's institutional knowledge resource on ML industry evolution
Requirements
What you’ll need- 8+ years of hands-on experience in machine learning analytics, data science, or a related technical field with meaningful experience applied to risk, fraud, or payments problems.
- Deep, practitioner-level expertise in Spark, Python, and big data ML this is the core stack.
- Proven experience in feature engineering for ML models, including identifying the right signals, building pipelines, and validating feature quality at scale.
- Holistic understanding of how the ML industry has evolved over the past decade including modern feature stores
Benefits
Comp & perks- Total compensation may also include equity and bonus eligibility
- medical, dental, vision, 401(k)