Staff ML Risk Analytics

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

Job summary

Coinbase, Inc. is seeking a Staff ML Risk Analytics professional to advance fraud detection through machine learning.

The role is remote and full-time, targeting senior candidates with deep ML analytics experience, especially in risk or payments. You will define data and feature strategy for fraud detection, own the end-to-end feature engineering pipeline, and work with ML Engineers to ensure production-ready insights.

Qualifications

• Experience in ML analytics, especially in risk or payments.
• Senior role with leadership and mentorship responsibilities.
• Remote, full-time position.

Responsibilities

• Define ML data and feature strategy for fraud detection.
• Own end-to-end feature engineering pipeline for production-ready systems.
• Collaborate with ML Engineers to translate insights into production-ready tooling.
• Set technical direction for ML Analytics and mentor junior team members.

Skills

ML analytics

Spark

Python

Big data

Risk analytics

Tools

Apache Spark

Python

Job description

Coinbase seeks a Staff ML Risk Analytics professional to enhance fraud detection using machine learning. Ideal candidates have extensive experience in ML analytics, particularly in risk or payments. This is a remote, full-time senior role.

In this role, you will define the machine learning data and feature strategy for detecting and preventing fraud at Coinbase. You will own the end-to-end feature engineering pipeline, working closely with Machine Learning Engineers to ensure that insights are translated into production-ready systems.

As part of a remote-first team, you will set the technical direction for the ML Analytics function and mentor junior members. Your expertise in Spark, Python, and big data will be crucial in diagnosing gaps in current tooling and collaborating cross-functionally with Product Managers and Risk analysts.