Staff ML Risk Analyst

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $194k - $228.2k / year

⏰ Full Time

🔴 Lead

🎲 Risk

🦅 H1B Visa Sponsor

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Coinbase

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

₿ Crypto

💸 Finance

💳 Fintech

💰 $21.4M Post-IPO Equity on 2022-11

Crypto • Finance • Fintech

Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

📋 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)