About the company
in 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.
Job Summary
Key Responsibilities
šDevelop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape. šTake action to resolve automatically flagged transactions and individuals šFile suspicious activity reports as required šMonitor and analyze transaction data to detect potential fraud, suspicious activities, and emerging risk trends. šUtilize advanced data analysis techniques and fraud detection tools to identify anomalies and potential security threats. šCreate and maintain risk assessment models to evaluate the financial and reputational impact of potential fraud incidents. šPartner with the engineering team to design and implement fraud detection systems, leveraging machine learning and predictive analytics. šEnsure alignment with regulatory requirements, including AML, KYC, and digital asset regulations. šDraft detailed reports and dashboards on risk findings, fraud incidents, and risk mitigation strategies for senior leadership and stakeholders. šLead cross-functional risk assessments for new product launches, ensuring security and fraud prevention measures are integrated into product design. šStay abreast of emerging risks in the digital asset space, including regulatory changes and new fraud tactics. šDevelop incident response plans for fraud detection and participate in incident response drills to assess and enhance our risk management framework.
Qualifications
šBachelor's degree in Finance, Economics, Computer Science, Data Science, or related field. š5+ years of experience in fraud analysis, risk management, or financial crime prevention, ideally within fintech, digital assets, or blockchain environments. šDemonstrated experience with fraud detection systems, transaction monitoring tools, and data analysis platforms (SQL, Python, R). šStrong knowledge of digital asset platforms, blockchain technology, and stablecoin ecosystems. šExperience with regulatory compliance, particularly regarding AML, KYC, and financial crime prevention. šExceptional analytical and problem-solving skills with a data-driven approach to decision-making. šStrong written and verbal communication skills, with the ability to clearly articulate complex risk findings to non-technical stakeholders.
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