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3 days
Not Specified
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$30.57/hr - $49.65/hr (Estimated)
<p>Kforce has a client in Pasadena, CA that is seeking a highly skilled and motivated Data Analyst to join our Financial Crimes team. The successful candidate will play a critical role in analyzing data related to financial crime activities, ensuring compliance with regulations, and mitigating risks. This position requires proficiency in SQL, Python, and Actimize, along with a strong analytical mindset, attention to detail, and the ability to work collaboratively with various departments to protect the bank from financial crimes.</p> <p>Responsibilities:</p> <ul> <li>Data Analysis: Perform detailed data analysis to identify patterns, trends, and anomalies related to financial crime activities; Utilize SQL and Python to scrutinize large datasets and develop actionable insights </li><li>Actimize Tool Utilization: Use the Actimize tool to monitor and analyze customer transactions, ensuring compliance with BSA/AML (Bank Secrecy Act/Anti-Money Laundering) regulations and identifying potential financial crimes </li><li>Customer Risk Monitoring: Develop and implement strategies for monitoring customer risk, including transaction monitoring, risk scoring, and alert generation. Identify and mitigate potential risks associated with financial crimes </li><li>Data Quality: Ensure the accuracy and integrity of data used for analysis and reporting. Maintain high data quality for reliable analysis and decision-making </li><li>Regulatory Compliance: Stay updated on BSA/AML regulations and industry best practices to ensure compliance and enhance the bank's financial crime prevention efforts* Education: Bachelor's degree in Data Science, Statistics, Finance, or a related field. Advanced degree preferred </li><li>Experience: Minimum of 3 years of experience in data analysis, preferably in the banking or financial services industry with a focus on BSA/AML or financial crimes </li><li>Technical Skills: Proficiency in SQL, Python, and Actimize for transaction monitoring and risk analysis; Strong knowledge of data analysis tools and techniques </li><li>AML/Financial Crimes and Actimize experience with strong SQL and Python skills </li></ul>
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