We are seeking a highly skilled Senior Data Analyst to join our Financial Crimes / Anti-Money Laundering (AML) team. This is a contract role. The ideal candidate will have a strong technical background and extensive experience in the financial crimes and AML space. This role involves analyzing and interpreting transactions, accounts, customers, alerts, and third-party data using advanced statistical and analytical tools to identify potential suspicious patterns, anomalies, and risks. Responsibilities: * Analyze and interpret transactions, accounts, customers, alerts, and third-party data using statistical and analytical tools to identify potential suspicious patterns, anomalies, and potential risks. * Utilize data analytics tools (e.g., SQL, Python, R, SAS) and data visualization tools (e.g., Tableau) to support investigations teams and decision-making processes. * Design and implement financial crime detection models and scenarios. * Conduct root cause analyses on financial crime incidents to enhance detection and prevention strategies. * Translate data-driven forensic analyses into actionable insights for investigators, enabling effective and efficient investigations. Qualifications: * Proven experience in the financial crimes / AML space. * Proficiency in data analytics tools such as SQL, Python, R, and SAS. * Experience with data visualization tools like Tableau. * Strong understanding of AML/KYC regulations and practices. * Experience in designing and implementing financial crime detection models and scenarios. * Ability to conduct root cause analyses on financial crime incidents. * Excellent analytical and problem-solving skills. * Strong communication skills, with the ability to translate complex data into actionable insights. * At least a bachelor's degree in data analytics or a related field. * 3 - 5 years of experience in the field. * Experience working in a major financial institution or consulting firm preferred. * Advanced degree in a related field (e.g., Data Science, Statistics, Finance) preferred. This role is hybrid, NYC (three days a week in person). Minimum Hourly Rate: $55.00 | Maximum Hourly Rate: $85.00