Financial Crimes Risk & Data Analyst

Provide analytical and data support for recurring and ad hoc BSA/AML and sanctions risk assessments. Gather, reconcile, test, and analyze data covering customers, transactions, products, services, channels, and geographic exposure. Build and maintain advanced SQL queries to extract and analyze information across multiple systems. Perform data quality checks to ensure information used in risk calculations and reporting is complete, accurate, and defensible.

Analyze trends and risk indicators to support financial crime risk measurement, management reporting, examinations, audits, and targeted reviews. Maintain data mappings, query logic, technical specifications, and supporting documentation used in risk assessment processes. Partner with technology, data, reporting, governance, and business teams to identify appropriate data sources and translate business needs into technical requirements. Develop repeatable reporting and analytical processes that improve efficiency, consistency, and control.

Support dashboards and reporting automation using SQL, Excel, Power BI, or comparable tools. Assist with enhancements to financial crime risk methodologies, data processes, controls, and governance. Provide analysis and supporting evidence for regulatory examinations, internal audits, and independent reviews. Manage multiple deliverables independently, identify dependencies or potential issues, and drive assignments through completion.

Bachelor s degree in Data Analytics, Information Systems, or a related discipline. 5+ years of relevant experience across BSA/AML, financial crime compliance, risk management, data analytics, or related functions. Previous experience supporting BSA/AML risk assessments at a large financial institution. Advanced SQL skills with demonstrated experience analyzing large and complex datasets. Strong Excel skills and experience with Power BI or similar visualization/reporting platforms.

Working knowledge of BSA/AML, sanctions, financial crime risk, and regulatory expectations. Understanding of financial crime risk assessment concepts and quantitative methodologies. Strong project management and organizational capabilities with the ability to manage competing deadlines. Excellent attention to data integrity, accuracy, and documentation. Ability to work independently, take ownership of deliverables, and follow projects through completion. Strong written and verbal communication skills, particularly when translating business needs into requirements for technical and data stakeholders.