W2 // Data Analyst with financial exp @ Remote

We are 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.

Key Responsibilities:

• 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
• 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
• 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
• Reporting: Prepare comprehensive reports and dashboards to communicate findings and insights to management and relevant stakeholders. Ensure that the information is accessible and actionable
• Collaboration: Work closely with compliance, risk management, and other departments to ensure effective communication and coordination in addressing financial crime risks. Collaborate to create a cohesive strategy to combat financial crimes
• Data Quality: Ensure the accuracy and integrity of data used for analysis and reporting. Maintain high data quality for reliable analysis and decision-making
• Regulatory Compliance: Stay updated on BSA/AML regulations and industry best practices to ensure compliance and enhance the bank's financial crime prevention efforts
• Continuous Improvement: Identify opportunities for process improvements and contribute to the development of more efficient data analysis methodologies

Qualifications:

• Education: Bachelor's degree in Data Science, Statistics, Finance, or a related field. Advanced degree preferred
• 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
• Technical Skills: Proficiency in SQL, Python, and Actimize for transaction monitoring and risk analysis. Strong knowledge of data analysis tools and techniques
• Analytical Skills: Excellent analytical and problem-solving skills with the ability to interpret complex data sets and provide actionable insights
• Communication Skills: Strong written and verbal communication skills, with the ability to present findings to non-technical stakeholders
• Attention to Detail: High level of accuracy and attention to detail in data analysis and reporting