• _Please note: This role is not eligible for immigration Work Visa sponsorship, either currently or in the future._

• Essential Duties and Responsibilities:

• + Develop and manage working relationships with BSA/AML and fraud model stakeholders.

+ Monitor and keep abreast of changes in AML and fraud related regulations, industry best practices, and MRM policies. + Develop and evidence validation plans for BSA/AML and fraud-related models. + Lead, perform and/or assist in model validations for BSA/AML and fraud-related models, including model documentation, model policies and procedures, conceptual soundness, data quality, assumptions/limitations, output analysis and ongoing monitoring metrics. + Complete model validations and annual model reviews per validation plan. + Maintain organized tracking of validation findings, issues, and remediations. + Perform BSA/AML and fraud related model ongoing monitoring, annual review and other independent model review tasks. + Assist in model governance activities related to AML and Fraud models.

• Knowledge, Skills, and Abilities:

•

Knowledge of:

+ BSA/AML and fraud models, regulatory requirements, including the Bank Secrecy Act, USA PATRIOT Act, and OFAC sanctions programs. + Model Risk Management regulatory guidance SR 26-2 and

OCC 2026-13.

+ Statistics and other quantitative fields and data validation principles. + The role of models in financial crime detection and prevention. + Understanding of core model validation concepts and components.

Skill in:

+ Microsoft Excel and Word for documentation, data analysis, and reporting. + Clear written and verbal communication, especially in organizing findings and writing summaries. + Analytical thinking, attention to detail, and structured problem-solving. + Using data analysis software such as SQL, R, or Python for data validation and analysis.

Ability to:

+ Understand how BSA/AML and fraud models operate and produce outputs. + Learn regulatory expectations and apply them to model validation work. + Collaborate with cross-functional teams in Financial Crimes, Risk, IT, and Compliance. + Follow structured validation procedures and meet project deadlines. + Document findings in clear, professional language.

• Educational/Previous Experience Requirements:

• + Bachelor's degree in Finance, Economics, Mathematics, Data Science, Computer Science, or a related field.

+ 3-6 years of professional experience in AML and Fraud model development and model validation, or work experience related to financial crime, data analysis, compliance. + Proficient and strong understanding of risk management, data analytics, audit, or related field. + Professional development, including certifications such as ACAMS is encouraged.