Senior Analyst, BSA​/AML and Fraud Model Risk Management

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Please note:

This role is not eligible for immigration Work Visa sponsorship, either currently or in the future._*
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* Essential Duties and Responsibilities:

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* + 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.