AML Operations Analyst
Ramp - New York, NY (HQ), New York City, NY, USA, Remote (US), San Francisco, CA
Posted May 14, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
AML Operations Analyst New York, NY (HQ), New York City, NY, USA, Remote (US), San Francisco, CA About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you've built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year - far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As a member of Ramp's AML Team, you will play a key role in executing Ramp's anti-money laundering and sanctions compliance program. You will be responsible for conducting investigations, filing SARs, driving process improvement, and supporting AI and automation initiatives for the AML program. This role is ideal for someone who thrives in a fast-paced fintech environment, has strong analytical and investigative skills, and is excited about building scalable processes to support Ramp's growth. You'll work
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