Financial Crimes Data Analyst 1

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The Financial Crimes Data Analyst 1 is responsible for supporting fraud and/or money laundering detection and reporting efforts through data analysis, model and rule logic development, and system monitoring. The analyst works cross-functionally with internal stakeholders and vendors to ensure effective fraud and money laundering mitigation, system optimization, and continual improvement of financial crime detection processes.

• Monitor, maintain, and tune financial crime detection rules, models, and system configurations in collaboration with the Manager, Financial Crimes Reporting and Analytics, Director of Enterprise Fraud Risk Management, and Director, BSA and AML Investigations.
• Analyze fraud losses across digital, card, deposit, and/or check fraud products; with the support and guidance of management and colleagues, prepare routine reports and visualizations to support operational and risk management decisions.
• Monitor financial crimes detection alerts, case workflows, and performance metrics to ensure timely and accurate fraud risk mitigation.
• Write and maintain fraud detection and AML model documentation, validation, tuning, and performance testing.
• Support end-to-end data management processes including data ingestion, transformation, validation, and reporting for financial crimes analytics.
• Maintain and enhance dashboards and reports using tools such as Power BI, Tableau, and SQL to track key performance indicators (KPIs) and key risk indicators (KRIs).
• Assist with user acceptance testing (UAT), implementation, and validation of new rules, system features, and platform enhancements (e.g., Actimize Integrated Fraud Manager).
• Stay informed on emerging fraud trends; recommend and support technical adjustments to fraud models and controls as needed.
• Collaborate with vendors and internal partners to facilitate data exchange, rule enhancements, and system optimization.
• Assist with maintenance of custom internal fraud and AML detection, prevention, and reporting tools, processes, and systems.

• Bachelor's degree in Computer Science, Data Analytics, Statistics, Mathematics, or related field.
• 1-2 years of experience in banking operations, data analytics, financial crimes detection/prevention, or database management preferred.
• Familiarity with SQL and data visualization tools such as Power BI or Tableau.
• Demonstrate ability to analyze complex datasets and deliver actionable insights.
• Programming experience (Python, R, MatLab, or similar) preferred.
• Experience with model validation, SDLC processes, or testing/implementation of fraud detection systems preferred.
• Strong verbal and written communication skills with ability to collaborate effectively across teams.

• Ability to travel if required to perform the essential job functions
• Ability to work under stress and meet deadlines
• Ability to operate related equipment to perform the essential job functions
• Ability to read and interpret a document if required to perform the essential job functions
• Ability to lift/move/carry approximately 10 pounds if required to perform the essential job functions. If the employee is unable to lift/move/carry this weight and can be accommodated without causing the department/division an "undue hardship" then the employee must be accommodated; hence omitting lifting/moving/carrying as a physical requirement.

Equal Opportunity/Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religious beliefs, national origin, ancestry, citizenship, sex, gender, sexual orientation, gender identity, marital status, age, physical or mental disability or history of disability, genetic information, status as a protected veteran, disabled veteran, or other protected characteristics as required by federal, state and local laws.