Risk Analyst
Remote · USFull-time$100–175K/yrPosted 11mo agoStill listed 3 days ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
Fin is hiring a Risk Analyst. Fin is hiring its first Fraud/Risk Analyst to join the Risk & Compliance team, focusing on identifying, analyzing, and mitigating risks in digital asset transactions, including ACH fraud and regulatory compliance, reporting directly to the CEO and building a robust fraud detection framework from the ground up.
Key focus areas include Develop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape, Take action to resolve automatically flagged transactions and individuals, and File suspicious activity reports as required.
Successful candidates bring Bachelor's Degree In Finance, Bachelor's Degree In Economics, and Bachelor's Degree In Computer Science. Important skills include ACH Fraud, Patriot Act, Bank Secrecy Act, Risk Assessment Framework, Risk Management Strategy, and Transaction Monitoring. Preferred (not required): Machine Learning, Predictive Analytics, Incident Response Protocols, and Risk Mitigation Frameworks.
Skills & qualifications
Skills
Qualifications
Full job description
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
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Develop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape.
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Take action to resolve automatically flagged transactions and individuals
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File suspicious activity reports as required
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Monitor and analyze transaction data to detect potential fraud, suspicious activities, and emerging risk trends.
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Utilize advanced data analysis techniques and fraud detection tools to identify anomalies and potential security threats.
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Create and maintain risk assessment models to evaluate the financial and reputational impact of potential fraud incidents.
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Partner with the engineering team to design and implement fraud detection systems, leveraging machine learning and predictive analytics.
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Ensure alignment with regulatory requirements, including AML, KYC, and digital asset regulations.
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Draft detailed reports and dashboards on risk findings, fraud incidents, and risk mitigation strategies for senior leadership and stakeholders.
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Lead cross-functional risk assessments for new product launches, ensuring security and fraud prevention measures are integrated into product design.
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Stay abreast of emerging risks in the digital asset space, including regulatory changes and new fraud tactics.
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Develop incident response plans for fraud detection and participate in incident response drills to assess and enhance our risk management framework.
Qualifications
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Bachelor's degree in Finance, Economics, Computer Science, Data Science, or related field.
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5+ years of experience in fraud analysis, risk management, or financial crime prevention, ideally within fintech, digital assets, or blockchain environments.
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Demonstrated experience with fraud detection systems, transaction monitoring tools, and data analysis platforms (SQL, Python, R).
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Strong knowledge of digital asset platforms, blockchain technology, and stablecoin ecosystems.
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Experience with regulatory compliance, particularly regarding AML, KYC, and financial crime prevention.
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Exceptional analytical and problem-solving skills with a data-driven approach to decision-making.
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Strong written and verbal communication skills, with the ability to clearly articulate complex risk findings to non-technical stakeholders.
Preferred Qualifications
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Certifications such as Certified Fraud Examiner (CFE), Certified Risk Manager (CRM), or CAMS.
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Experience with machine learning models for fraud detection and predictive analytics.
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Familiarity with incident response protocols and risk mitigation frameworks in financial services.
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Prior experience in a fast-paced startup or scaling fintech environment.
How this job compares
Set against the 732 open Risk Analyst jobs on Olive Jobs, counted October 30, 2026.
- Pay
- This posting$100–175K/yr
- New York median$100–144K/yr64 salary ranges
- US median$88–125K/yr477 salary ranges
This range's midpoint, $138K, is 16% above the New York median midpoint ($119K) — in the middle half of Risk Analyst salary ranges in New York.
- Openings
- Olive Jobs lists 89 open Risk Analyst jobs in New York and 732 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Risk Analyst postings that state a minimum ask for 4 years at the median (591 postings).
- Education
- This posting asks for a bachelor's degree; 277 of the 732 open Risk Analyst jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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