- Collaborate with engineering to define technical architecture for internal risk systems.
- Define risk metrics, success criteria, and decision frameworks.
- Analyze fraud, scam, and abuse patterns in crypto and fiat products.
- Maintain reports tracking fraud losses, false positives, and operational efficiency.
- Design and structure data instrumentation and decision systems.
- Evaluate and iterate on risk rules and controls using rigorous analysis.
- Apply machine learning where it materially improves decision quality.
- Conduct deep-dive investigations into incidents and emerging threats.
- Communicate insights clearly and persuasively to stakeholders.
- Establish data standards and analytical best practices for the Risk team.
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