Staff ML Risk Analyst
Core
Define ML data and feature strategy for fraud detection, building automated solutions to identify and prevent account takeover (ATO) and scam activity at scale.
Role type
Staff ML Risk Analyst (Fraud Intelligence)
Builds
ML-powered automated fraud detection systems for account takeover and scam prevention
Domain
Fintech / Cryptocurrency / Fraud Risk
Deliverable
production ML models
Required skills
Machine learning analytics, feature engineering, Spark, Python, big data ML, fraud detection, ML infrastructure architecture, generative AI oversight
Preferred skills
None stated
Technologies
Spark, Python, Tecton, Feast
Responsibilities
Define ML data and feature strategy for fraud detection; Own end-to-end feature engineering pipelines; Diagnose gaps in ML tooling infrastructure; Partner with ML Engineers to translate insights into production systems; Mentor junior team members; Partner cross-functionally to translate ML findings into business decisions
Seniority
Staff, hands-on IC with mentorship