Senior Data Analyst-Financial Crimes/AML

<span>We are seeking a highly skilled and experienced Senior Data Analyst to join our Financial Crimes / Anti-Money Laundering (AML) team. The ideal candidate will have a strong technical background and extensive experience in 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.</span><br/><br/><span><b>Responsibilities:</b></span><ul><li><span><span>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.</span></span></li><li><span><span>Utilize data analytics tools (e.g., SQL, Python, R, SAS) and data visualization tools (e.g., Tableau, PowerPoint) to support investigations teams and decision-making processes.</span></span></li><li><span><span>Perform data ETL, cleaning, and validation.</span></span></li><li><span><span>Design and implement financial crime detection models and scenarios.</span></span></li><li><span><span>Conduct root cause analyses on financial crime incidents to enhance detection and prevention strategies.</span></span></li><li><span><span>Translate data-driven forensic analyses into actionable insights for investigators, enabling effective and efficient investigations.</span></span></li></ul><br/><span><b>Qualifications:</b></span><ul><li><span><span>At least a bachelor's degree in data analytics or a related field.</span></span></li><li><span><span>At least 7 years of experience in the field.</span></span></li><li><span><span>Proven experience in financial crimes/AML space.</span></span></li><li><span><span>Proficiency in data analytics tools such as SQL, Python, R, and SAS.</span></span></li><li><span><span>Experience with data visualization tools like Tableau and PowerPoint.</span></span></li><li><span><span>Strong understanding of AML/KYC regulations and practices.</span></span></li><li><span><span>Experience in designing and implementing financial crime detection models and scenarios.</span></span></li><li><span><span>Ability to conduct root cause analyses on financial crime incidents.</span></span></li><li><span><span>Excellent analytical and problem-solving skills.</span></span></li><li><span><span>Strong communication skills, with the ability to translate complex data into actionable insights.</span></span></li></ul><ul><li><span><span>Experience working in a major financial institution or consulting firm preferred. </span></span></li><li><span><span>Advanced degree in a related field (e.g., Data Science, Statistics, Finance) preferred.</span></span></li></ul><br/><span>This is a contract position.</span><br/><br/><span>This role is work from home (Poland).</span>