Risk Analyst focusing on fraud detection and risk management for Fin, a next-gen payments platform. Analyzing digital asset transactions and ensuring compliance with regulations.
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 and potential security threats.
Create and maintain risk assessment models to evaluate the financial and reputational impact of potential fraud incidents.
Partner with the engineering team to design and implement fraud detection systems, leveraging machine learning and predictive analytics.
Ensure alignment with regulatory requirements, including AML, KYC, and digital asset regulations.
Draft detailed reports and dashboards on risk findings, fraud incidents, and risk mitigation strategies for senior leadership and stakeholders.
Lead cross-functional risk assessments for new product launches, ensuring security and fraud prevention measures are integrated into product design.
Stay abreast of emerging risks in the digital asset space, including regulatory changes and new fraud tactics.
Develop incident response plans for fraud detection and participate in incident response drills to assess and enhance our risk management framework.
Requirements
Bachelor's degree in Finance, Economics, Computer Science, Data Science, or related field.
5+ years of experience in fraud analysis, risk management, or financial crime prevention, ideally within fintech, digital assets, or blockchain environments.
Demonstrated experience with fraud detection systems, transaction monitoring tools, and data analysis platforms (SQL, Python, R).
Strong knowledge of digital asset platforms, blockchain technology, and stablecoin ecosystems.
Experience with regulatory compliance, particularly regarding AML, KYC, and financial crime prevention.
Exceptional analytical and problem-solving skills with a data-driven approach to decision-making.
Strong written and verbal communication skills, with the ability to clearly articulate complex risk findings to non-technical stakeholders.
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