Financial Crime Data Analyst & Governance
On-siteCoral Gables, Florida, United States
Job Summary
Design, develop, and maintain analytics and reporting solutions supporting BSA/AML, OFAC, Fraud, and Transaction Monitoring functions. Produce recurring and ad hoc reports for executive management, Board reporting, regulatory examinations, and audits while performing trend and root cause analysis to identify emerging financial crime risks. Maintain the Financial Crime Prevention data governance framework, including data inventories, lineage documentation, and quality controls to ensure data integrity. Lead business-side data mapping initiatives, collaborate on system implementations and migrations, and support user acceptance testing and post-implementation monitoring. Partner with cross-functional teams to automate reporting processes, optimize fraud detection strategies, and provide training to stakeholders on analytical tools.
Required Qualifications
- 5+ years of experience in Financial Crime, AML, Fraud, Risk Analytics, Data Analytics, Compliance Analytics, Business Intelligence, or related disciplines
- Experience supporting financial institutions, FinTechs, regulatory compliance functions, or financial crime prevention programs
- Experience supporting transaction monitoring platforms, sanctions screening solutions, fraud detection applications, customer risk rating systems, or case management platforms
- Experience with reporting automation, dashboard development, and business intelligence solutions
- Experience participating in system implementations, integrations, data migrations, and technology projects
- Experience supporting regulatory examinations, internal audits, external audits, or model validation activities
- Advanced knowledge of BSA/AML, OFAC, Fraud Prevention, Customer Due Diligence, and Financial Crime Risk Management principles
- Strong understanding of financial crime typologies, transaction monitoring, sanctions screening, and fraud detection methodologies
- Advanced proficiency with reporting, business intelligence, and analytics tools including Power BI, SQL, Excel, Tableau, SSRS, SAS, Python, or equivalent technologies
- Strong knowledge of data governance, data lineage, data mapping, and data quality management principles
- Ability to design, validate, and document data mappings and source-to-target transformations
- Strong analytical, critical thinking, problem-solving, and root cause analysis skills
- Ability to analyze large and complex data sets and translate findings into actionable business recommendations
- Strong project management and organizational skills with ability to manage multiple priorities simultaneously
- Excellent written and verbal communication skills with ability to present information to technical and non-technical audiences
- Strong stakeholder management and cross-functional collaboration capabilities
- Bachelor's Degree in Business, Finance or related field
Desired Qualifications
- Knowledge of Financial Crimes Screening, Client Risk Rating, Transaction Monitoring, and Case Management solutions (i.e., Actimize, Verafin, LexisNexis Risk Solutions) preferred
- Knowledge of artificial intelligence, machine learning, robotic process automation, and emerging analytics technologies preferred
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