Risk Analyst

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 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.

Qualifications

• 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.

Preferred Qualifications

• Certifications such as Certified Fraud Examiner (CFE), Certified Risk Manager (CRM), or CAMS.
• Experience with machine learning models for fraud detection and predictive analytics.
• Familiarity with incident response protocols and risk mitigation frameworks in financial services.
• Prior experience in a fast-paced startup or scaling fintech environment.

Compensation Range

$100K - $175K