FIU Manager – Model & Analytics

Role Overview

• 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.