Level

Coinbase

Payments Risk Analyst II

Coinbase is hiring a Payments Risk Analyst II for a remote role open to applicants in United States. It pays $135k-$159k a year and Level rates it ; you can apply on Coinbase.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • This is listed as a remote role.
  • The posting mentions SQL, risk analysis and fraud prevention among its tools and skills.
  • Level classes it as a mid-level role.
  • Coinbase has 226 other open roles on Level.

AI in this role

Manage fiat payments risk, analyze transaction data, and investigate fraudulent deposit activity to protect company funds.

sql
risk-analysisfraud-preventiondata-analysispayments

Ready to do the most impactful work of your career? At 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.” learn more about working at Coinbase.

  Payments Risk Analyst II

As a Payments Risk Analyst II on the Risk & Fraud team within the Consumer & Business group, you'll own the identification and mitigation of fraud risk across Coinbase's fiat payment rails, protecting the company's bottom line and millions of customers without degrading the user experience. You'll join a team that is modernizing its risk controls and building next-generation fraud prevention systems, giving you the opportunity to shape how we protect customers at scale across one of crypto's highest-volume retail platforms.

What you'll do:

  • Own end-to-end risk controls for ACH payments, scaling fraud prevention processes to keep pace with business expansion.
  • Drive detection and mitigation of fraudulent deposit activity by implementing targeting logic against bad actors and high-risk behavior.
  • Lead quantitative analysis of fraud performance, measuring rule precision and recall, assessing the financial impact of decisions, and surfacing tradeoffs to leadership with clear, data-backed recommendations.
  • Partner cross-functionally with Product, Growth, Data Science, Risk ML, and Engineering to develop and iterate on risk management strategies, including the transition from heuristic rules to model-driven and synchronous friction controls.
  • Execute investigations into anomalous customer and transaction behavior, proactively identifying monitoring gaps and closing them before they become losses.

Required Skills and Experience:

  • 4+ years of experience in risk, fraud, or payments operations, with at least 2 years focused on payments fraud prevention in a fintech, e-commerce, or financial services environment.
  • 2+ years of hands-on experience querying and analyzing large datasets using SQL, with the ability to independently scope and execute analytics projects end-to-end.
  • Demonstrated experience using identity-provider data and fraud-detection tooling to implement and tune risk controls.
  • Proven ability to measure the financial impact of fraud decisions and communicate findings to senior leadership and cross-functional stakeholders.
  • Demonstrated working knowledge of ACH payment processing and applicable NACHA rules.
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Pay Transparency Notice: 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):$135,320—$159,200 USD
  • Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
  • 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.
  • US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
  • Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
  • Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.

How we rate this

Payments Risk Analyst II at Coinbase rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Risk AnalysisFraud PreventionData AnalysisPaymentsSQL

Questions you could be asked

  1. Tell me about a project where risk analysis was part of your work. What did you do?
  2. Tell me about a project where fraud prevention was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where payments was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Risk Analysis, Fraud Prevention, Data Analysis, Payments, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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