Risk Analyst
Bud - New York, NY, New York, NY, United States, Remote
Posted Dec 3, 2025
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
Risk Analyst New York, NY, New York, NY, United States, Remote About Fin Fin is a next-generation payments platform built for high-value, global, and instant transactions. We are a Series A-stage company backed by Sequoia, Circle, and other notable investors. Powered by stablecoins, Fin enables users and businesses to move millions of dollars in seconds - whether to other Fin users, directly into bank accounts, or across crypto rails. By combining the speed of crypto with the reliability and trust of traditional finance, Fin reimagines how money moves worldwide. If banks and payment products were reinvented today, they would look like Fin. Role Overview We are hiring our first Fraud/Risk Analyst to join our Risk & Compliance team . This role will focus on identifying, analyzing, and mitigating risks associated with digital asset transactions - including ACH fraud and compliance with applicable regulations like the Patriot Act and Bank Secrecy Act. This is a critical position, reporting directly to the CEO, and will require a combination of technical, analytical, and regulatory expertise to build a robust fraud detection and risk assessment framework from the ground up. Key Responsibilities - Develop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape. - Take action to resolve automatically flagged transactions and individuals - File suspicious activity reports as required - Monitor and analyze transaction data to detect potential fraud, suspicious activities, and emerging risk trends. - Utilize advanced data analysis techniques and fraud detection tools to identify anomalies
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