Jobs › Payments Risk Analyst II
Payments Risk Analyst II
Role at a glance
- Category
- Risk
- Work arrangement
- Remote
- Location
- Remote
- Salary range
- $135,320
- Posted
- Jun 22, 2026
Coinbase is hiring a Payments Risk Analyst II in Remote. This is a Risk role in the governance, risk, and compliance field, with a posted range of $135,320. 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. -col items-start gap-3 and prose message-content dark:prose-invert light w-full dark:text-gray-100 -col items-start gap-3 and prose message-content dark:prose-invert light w-full dark:text-gray-100 Payments Risk Analyst II As a Payments Risk Analyst II on the Risk and Fraud team within the a Consumer and 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
Full responsibilities and requirements are on Coinbase's application page.
Apply for this role →Location and market context
This is a remote risk management role, so it draws from a national talent pool rather than a single metro. Remote governance and compliance roles reward candidates who can show they work effectively across time zones and distributed legal, security, and product teams. Confirm any residency, travel, or occasional-onsite expectations directly with Coinbase.
About risk management roles
Risk roles own the methodology for identifying, assessing, and escalating enterprise, operational, and technology risk. Second-line teams set risk appetite and challenge the first line. Roles like this one are typically evaluated against frameworks such as enterprise and operational risk frameworks, NIST AI RMF, and risk-appetite and escalation practices.
How to position yourself for this risk management role
Strong candidates emphasize risk assessment methodology, appetite and escalation, cross-functional partnership, and clear reporting to senior leadership and the board. In your resume and outreach, tie your experience to how Coinbase would apply enterprise and operational risk frameworks, NIST AI RMF, and risk-appetite and escalation practices, and lead with concrete outcomes rather than duties.
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