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

Job Description Summary

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.

Please note:

This role is not eligible for immigration Work Visa sponsorship, either currently or in the future.

• 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 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.

• 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.

Bachelor’s:
Applied Mathematics, Bachelor’s:
Data Science, Bachelor’s:
Finance

General Experience - 3 to 6 years

Less than 25%

Hybrid

The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions.

• medical, dental, and vision
• life insurance
• critical illness insurance and accident insurance
• disability benefits
• retirement savings
• paid time off (including vacation, holidays, and sick leave)
• parental leave

Eligibility for benefits and specific offerings may vary based on position and employment status. To view…