Business Analyst
Current• Analyzing transaction data, including pay-ins, pay-outs, and credit movements, to detect replicate fraudulent transactionpatterns of money movement among customer CLABEs, focusing on Anti-Money Laundering (AML) detection• Conducting data exploration and visualization using Redshift, QuickSight, and Neptune graph algorithms to identify highrisk accounts and propose mitigation strategies• Collaborating with data analytics teams to leverage AWS Neptune for building graph-based models aimed at identifyingpatterns of fraudulent activities and money laundering within customer transactions• Presenting data-driven insights and findings to key stakeholders, providing actionable recommendations to strengthen fraudprevention measures