Oversee the full lifecycle of AML, Fraud and Sanctions model development and maintenance including data identification and extraction, testing, performance assessments, ongoing monitoring and validation.
Develop and maintain working knowledge of models and serve as the Departments subject matter expert on model usage and methodologies.
Manage library of internal model documentation for all AML/Fraud/Sanctions/CDD/EDD analytical models including agent data sources and other documentation.
Proactively develop and build technical skills and business knowledge in Generative AI and Agentic AI usage, responsible AI principles and LLM-specific risk management.
Effectively collaborate with compliance, technology, vendors and risk partners to ensure safe and ethical deployment of AI tools and models in the financial crimes framework.
Support the release and upgrade cycle of core banking systems as well as AML/Fraud/Sanctions models including release note reviews and test planning for system enhancements and new data feeds.
Collaborate internally with FIU teams as well as data engineering and vendor teams to ensure timely delivery of data, system updates and new model features.
Coordinate with internal teams to review model performance, evaluate for gaps in monitoring coverage and document recommendations for new agent usage.
Actively participate in cross-functional working groups, internal audits, model validations, and regulatory exams as needed.
Maintain proficiency in BSA compliance and apply significant knowledge in BSA/AML/Fraud/Sanctions to model tuning and configurations, technology projects, testing and validation.
Notify appropriate personnel through submission of the Unusual Activity Referral Form of any identified potential unusual or suspicious activity immediately.
Assist in projects or other tasks as may be assigned.
Requirements
At least 7 years’ experience in a highly regulated environment with AML, Fraud, and OFAC knowledge and relevant typologies.
In-depth knowledge of AML/Fraud transaction and monitoring systems and Sanctions screening systems (LexisNexis Bridger preferred, extensive Verafin experience required).
Experience in both traditional and machine learning/artificial intelligence modeling practice and solutions.
Experience in reviewing and analyzing large amount of data for statistical modeling and graphic analysis.
Experience with model tuning, documentation, and development processes.
Ability to write complex queries for reporting, data mining, and research preferred.
Experience working in core banking systems (Fiserv preferred).
Experience working in AML and Sanctions software platforms (Verafin and BAM preferred).
Knowledge and understanding of BSA/AML, Fraud, and Sanctions regulations, technology, and data analysis best practices.
Experience in developing and executing test plans including defect resolution processes.
Self-motivated, dependable, adaptable, and detail-oriented individual with analytical, writing, and organizational skills.
Ability to handle multiple projects and tasks simultaneously.
Strong verbal, written and visual communication skills; ability to translate technical observations to non-technical audience.
Proficient with Microsoft Outlook, Office, Excel, PowerPoint and able/willing to adapt to new software if/as needed.
Benefits
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.