{"id":770609,"url":"https://alion.io/job/fin-risk-analyst","title":"Risk Analyst","company":{"id":7591,"name":"Fin","domain":"fin.tech","url":"https://alion.io/company/fin","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":58,"open_postings":10,"ghost_share":0.7,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":53,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Finance","role_family":"Finance","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":175000,"currency":"USD","period":"year","gross":null,"usd_annual":175000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-12-03T14:52:20Z","employer_posted_date":"2025-12-03","last_verified_at":"2026-10-16T20:31:34Z","board_verified":true,"closed_at":null,"days_open":317,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":316},"description":"About Fin\nFin 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.\nRole Overview\nWe 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.\nKey Responsibilities\nDevelop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape.\n\nTake action to resolve automatically flagged transactions and individuals\n\nFile suspicious activity reports as required\n\nMonitor and analyze transaction data to detect potential fraud, suspicious activities, and emerging risk trends.\n\nUtilize advanced data analysis techniques and fraud detection tools to identify anomalies and potential security threats.\n\nCreate and maintain risk assessment models to evaluate the financial and reputational impact of potential fraud incidents.\n\nPartner with the engineering team to design and implement fraud detection systems, leveraging machine learning and predictive analytics.\n\nEnsure alignment with regulatory requirements, including AML, KYC, and digital asset regulations.\n\nDraft detailed reports and dashboards on risk findings, fraud incidents, and risk mitigation strategies for senior leadership and stakeholders.\n\nLead cross-functional risk assessments for new product launches, ensuring security and fraud prevention measures are integrated into product design.\n\nStay abreast of emerging risks in the digital asset space, including regulatory changes and new fraud tactics.\n\nDevelop incident response plans for fraud detection and participate in incident response drills to assess and enhance our risk management framework.\n\nQualifications\nBachelor's degree in Finance, Economics, Computer Science, Data Science, or related field.\n\n5+ years of experience in fraud analysis, risk management, or financial crime prevention, ideally within fintech, digital assets, or blockchain environments.\n\nDemonstrated experience with fraud detection systems, transaction monitoring tools, and data analysis platforms (SQL, Python, R).\n\nStrong knowledge of digital asset platforms, blockchain technology, and stablecoin ecosystems.\n\nExperience with regulatory compliance, particularly regarding AML, KYC, and financial crime prevention.\n\nExceptional analytical and problem-solving skills with a data-driven approach to decision-making.\n\nStrong written and verbal communication skills, with the ability to clearly articulate complex risk findings to non-technical stakeholders.\n\nPreferred Qualifications\nCertifications such as Certified Fraud Examiner (CFE), Certified Risk Manager (CRM), or CAMS.\n\nExperience with machine learning models for fraud detection and predictive analytics.\n\nFamiliarity with incident response protocols and risk mitigation frameworks in financial services.\n\nPrior experience in a fast-paced startup or scaling fintech 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