Staff ML Risk Analyst

Coinbase, Inc.; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Coinbase, Inc. seeks a Staff ML Risk Analyst to enhance fraud detection through machine learning. This remote role focuses on defining data strategies, feature engineering, and collaboration with cross-functional teams.

You will lead development of ML strategies to improve fraud prevention, manage end-to-end feature pipelines, and ensure models are instrumented and monitored in production, while partnering with ML Engineers and risk teams.

Qualifications

• Extensive experience in ML analytics, especially in fraud or risk domains.
• Define data strategies and feature engineering pipelines for ML models.
• Experience instrumenting and monitoring models in production.

Responsibilities

• Define data and feature strategies for ML models.
• Lead end-to-end feature engineering pipelines.
• Ensure models are instrumented and monitored in production.
• Collaborate with ML Engineers and cross-functional teams to translate insights into business decisions.

Skills

ML analytics

Fraud risk domain

Cross-functional collaboration

Data strategy

Job description

Coinbase seeks a Staff ML Risk Analyst to enhance fraud detection through machine learning. This remote role involves defining data strategies, feature engineering, and collaborating with cross-functional teams. Ideal candidates have extensive experience in ML analytics, particularly in risk or fraud domains.

In this role, you will lead the development of machine learning strategies aimed at improving fraud detection and prevention systems. Your responsibilities include defining the data and feature strategies, managing the end-to-end feature engineering pipeline, and ensuring that models are effectively instrumented and monitored in production.

You will collaborate closely with Machine Learning Engineers and cross-functional teams to translate analytical insights into actionable business decisions. Success in this position requires a deep understanding of ML industry evolution, particularly in the context of fraud, payments, and risk management.