Senior Analyst, BSA/AML and Fraud Model Risk Management

Job Description SummaryThis Senior Analyst position will conduct model risk management and validation-related responsibilities in the independent validation and review of BSA/AML models, including (but not limited to) Transaction Monitoring, Customer Risk Scoring, and OFAC/Sanctions Screening systems, as well as fraud models.Please note: This role is not eligible for immigration Work Visa sponsorship, either currently or in the future.Job DescriptionPlease 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...