Senior Model Validation Analyst – Compliance, Financial Crimes, AML, Sanctions, Fair Lending

U.S. Bank

Senior Model Validation Analyst managing compliance and financial crimes models for U.S. Bank.

Posted 7/12/2026full-timeMinneapolis • California, Minnesota, New York, North Carolina • 🇺🇸 United StatesSenior💰 $119,765 - $140,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Model Risk Management, including model validation and compliance with regulatory standards. Proficient in statistical modeling, data analysis, and effective communication of complex concepts to diverse stakeholders.

Highest-signal resume keywords

Model Validation ExperienceStatistical ModelingRegulatory Compliance KnowledgeMachine Learning MethodsData Analysis and Interpretation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisMathematical ModelingData Integrity AssessmentRegression AnalysisNatural Language ProcessingAnalytical TestingReporting GenerationModel DevelopmentQuantitative AnalysisOutlier Detection

Soft Skills

Strong Relationship BuildingExcellent Communication SkillsSelf-MotivatedIndependent Research CapabilityAbility to Explain Complex Ideas

Industry Keywords

Anti-Money LaunderingCybersecurityEconomic SanctionsFair LendingBSA/AMLModel Risk Management PolicyRegulatory GuidanceFinancial ServicesCompliance LawsGovernance and Control

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

This position is an individual contributor role residing within the Bank’s Second Line of Defense Risk Management and Compliance organization.
Specifically, this position supports the Model Risk Management (“MRM”) program at the Bank.
The overall MRM program is designed to provide governance and control around impactful institutional models per the Bank’s Model Risk Management Policy and Standards, and in adherence to applicable Regulatory Guidance.
The individual in this position works with Model Owners and Developers to validate models related to the Bank's Compliance and Financial Crimes groups, which can include Anti-Money Laundering (AML), Cybersecurity, Economic Sanctions/OFAC, and Fair Lending.
The Analyst may also interface with key stakeholders, regulators, and internal auditors to discuss the justification and reasoning behind various validation and review outcomes.
During validation, the Analyst will independently challenge the model’s conceptual framework and methodology, data integrity and usage, implementation framework, process/governance, ongoing performance, etc.
The Analyst will generate reporting to document and present observations made to model owners and developers for consideration, with any material concerns or weaknesses identified.
Any items that require corrective actions to be taken by the model risk owners with then be tracked by the Analyst to remediation.

Requirements

What you’ll need

Bachelor's degree in a quantitative field required with at least 8 years of relevant experience OR
MA/MS in a quantitative field, and five or more years of related experience OR
PhD in a quantitative field, and four or more years of related experience
Self-motivated worker and comfortable working with varying levels of guidance.
Strong mathematical and statistical modeling or model validation experience.
Advanced understanding of applicable compliance laws, regulations, financial services, and regulatory trends that affect assigned line of business.
Prior exposure to validation or development of models across BSA/AML, Cybersecurity, Fair Lending, Economic Sanctions, etc.
An ability to build strong relationships with stakeholders across multiple levels (e.g., senior leadership, teammates, etc.), with different analytical backgrounds, and various model development/validation experience.
Working knowledge of various Machine Learning methods, with working knowledge/experience.
Excellent verbal and written communication skills are a necessity (ability to explain complex ideas in simple, non-technical language).
Able to perform complex mathematical analysis utilizing various statistical and mathematical methods or techniques including.
Understanding of foundational theories and methodologies of varying structural complexities, including (but not limited to) multi-layered rule-based algorithms; standard statistical methods for the identification of outlier events; linear or logistic regression; natural language processing (NLP), and machine learning methods such as random forest, gradient boosting techniques, or other ensemble techniques.
Ability to challenge either custom built or third-party proprietary vendor models.
Can independently design and perform analytical tests, generate reporting that clearly articulates validation considerations and outcomes, and/or perform independent research related to usage of advanced quantitative models.
Can generate other professional-level products such as presentations, memos, etc., in support of day-to-day functions associated with the MRM program.
Able to retrieve, analyze and interpret data from various sources (internal and external).
Can aggregate data from various databases to facilitate statistical analyses as part of independent validation.
Can interpret results from statistical analyses performed and effectively communicate the results, with any associated conclusions, to various stakeholders.
Able to read, understand, and interpret applicable internal MRM policies and regulatory rules/guidance to confirm compliance.

Benefits

Comp & perks

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law