Staff ML Risk Analyst

Job Description:

  • 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:

  • 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:

  • Total compensation may also include equity and bonus eligibility
  • medical, dental, vision, 401(k)
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