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Staff ML Risk Analyst
Coinbase is hiring for the role of Staff ML Risk Analyst, Remote. This is a Risk role in the governance, risk, and compliance field, with a posted range of $193,970. Review the full details below and apply directly with Coinbase.
Ready to do the most impactful work of your career? At a and utm_source=coinbase Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn t a place for complacency, it’s a place to be pushed past your perceived limits. If you re ready to build the future of finance alongside people who refuse to settle for good enough, you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” a learn more about working at Coinbase.
As a Staff ML Risk Analyst on the Growth and Risk team within the a Consumer and Business group, you ll sit at the intersection of fraud intelligence and machine learning infrastructure, defining how we identify, model, and respond to sophisticated fraud at scale. Fraud at Coinbase is fast-evolving, with professional, adaptive counterparties that outpace any human response team. You ll build and shape the ML-powered, automated solutions that detect and prevent account takeover (ATO) and scam activity before it reaches our users, setting the technical direction for the ML Analytics function within Growth and Risk.
strong What you ll do:
Define the ML data and feature strategy for fraud detection, determining what data needs to enter our systems so models can take intelligent, high-accuracy action on the small fraction of traffic where intervention matters most.
Own the end-to-end feature engineering pipeline, identifying, building, validating, and promoting features that drive measurable improvements in ATO and scam ML performance.
Diagnose gaps between current tooling infrastructure and the solutions needed, driving the roadmap to close them by applying deep knowledge of how the ML industry has evolved architecturally.
Partner with Machine Learning Engineers to translate analytical insights into production-ready ML systems, ensuring models are instrumented, monitored, and continuously improved.
Mentor junior team members across the ML Analytics function, defining the technical approach and translating direction into execution.
Partner cross-functionally with Product Managers and Risk Analysts to surface fraud signals and translate ML findings into business-impacting decisions.
strong Required Skills and Experience:
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.
Practitioner-level proficiency in Spark, Python, and big data ML as a core working stack, with demonstrated ability to operate beyond SQL and rule-based approaches.
Proven experience in feature engineering for ML models, including identifying signals, building pipelines, and validating feature quality at scale.
Working knowledge of the ML infrastructure landscape evolution, from Hadoop-era big data through modern feature stores (e.g., Tecton, Feast), with the ability to apply that context to close infrastructure gaps.
Demonstrated ability to optimize ML systems for sensitivity and accuracy on high-stakes, low-volume fraud traffic rather than broad-coverage, high-volume use cases.
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
strong Pay Transparency Notice: strong em Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Annual base salary range (excluding equity and bonus):
span $193,970 span span $228,200 USD
italic; font-size: 8pt; strong em Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
italic; font-size: 8pt; span 8pt; em strong Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
italic; font-size: 8pt; span 8pt; em strong US Applicants: View a Employee Rights, a Know Your Rights, and a E-Verify Notice of Participation.
italic; font-size: 8pt; span 8pt; em strong Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at Need screen reading technology? a Click here to download a free compatible screen reader and view the a strong tutorial.
italic; font-size: 8pt; span 8pt; em strong Data Privacy and Arbitration: By submitting your application, you agree to our a Candidate Privacy Notice. US applicants: By submitting your application, you agree to a Arbitration of Disputes.
italic; font-size: 8pt; span 8pt; em strong AI Disclosure: Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. Coinbase will not use AI to make decisions impacting employment.