Senior Analyst, BSA/AML and Fraud Model Risk Management

This 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.

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

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; knowledge of BSA/AML and fraud models, regulatory requirements, including the Bank Secrecy Act, USA PATRIOT Act, and OFAC sanctions programs; knowledge of Model Risk Management regulatory guidance SR 26-2 and OCC 2026-13; knowledge of statistics and other quantitative fields and data validation principles; understanding of core model validation concepts and components; skill in Microsoft Excel and Word for documentation, data analysis, and reporting; skill in clear written and verbal communication, especially in organizing findings and writing summaries; skill in analytical thinking, attention to detail, and structured problem-solving; skill in 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; ability to learn regulatory expectations and apply them to model validation work; ability to collaborate with cross-functional teams in Financial Crimes, Risk, IT, and Compliance; ability to follow structured validation procedures and meet project deadlines; ability to document findings in clear, professional language

Nice to have

Professional development, including certifications such as ACAMS, is encouraged

Benefits

Additional compensation (cash or equity); discretionary bonuses; commissions; medical; dental; vision; life insurance; critical illness insurance; accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); parental leave