Quantitative Analyst – Artificial Intelligence/Machine Learning

U.S. Bank

. Develop benchmark AI/ML models .

Posted 11/12/2026full-timeUnited StatesMid-LevelSenior💰 $105,400 - $124,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in developing and validating AI/ML models, with a strong foundation in statistical methodologies and risk management. Proficient in communicating complex model requirements and outcomes to stakeholders while ensuring compliance with regulatory standards.

Highest-signal resume keywords

AI/ML Model DevelopmentModel Validation MethodologiesStatistical Analysis Using SASRisk Management ApproachesProject Management Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Regression TechniquesParametric AlgorithmsNon-Parametric AlgorithmsTime Series TechniquesData CompilationProgramming SkillsQualitative Analysis Skills

Soft Skills

Analytical SkillsOrganizational SkillsProblem-Solving SkillsNegotiation SkillsInterpersonal Communication

Industry Keywords

Quantitative FieldModel Risk MitigationGenerative AIU.S. Bank ComplianceBank Operations

About the role

Key responsibilities & impact

Develop benchmark AI/ML models
Perform AI/ML model development and model review activities
Select algorithms and evaluate model performance
Implement, monitor, mitigate, and remediate model risk
Conduct R&D for AI/ML methodologies and potential applications and use cases
Review model development documentation
Independently test advanced AI/ML and Generative AI models
Develop technical guidance documents, training curriculum, and white papers
Communicate model requirements and validation outcomes to stakeholders within the Bank
Provide oversight to U.S. Bank’s Artificial Intelligence Models across Marketing, Fraud, Credit Risk, and Bank Operations

Requirements

What you’ll need

Bachelor’s degree in a quantitative field, and five or more years of relevant experience OR MA/MS in a quantitative field, and three or more years of related experience OR PhD in a quantitative field, and less than two years of related experience
Thorough knowledge of various regression techniques, parametric and non-parametric algorithms, time series techniques, and other statistical models
Knowledge of model validation tests/methodologies using SAS or similar statistical package
Thorough data compilation, programming skills, and qualitative analysis skills
Knowledge of quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
Advanced understanding of applicable regulatory rules, guidance, or supervisory letters
Ability to manage multiple tasks across various timelines
Strong analytical, organizational, problem-solving, negotiation, and project management skills
Demonstrated independence, teamwork, and leadership skills
Effective interpersonal, verbal, and written communication skills
Ability to work from a U.S. Bank location three or more days per week
Applicants must be able to comply with U.S. Bank policies and procedures, including the Code of Ethics and Business Conduct and related workplace conduct and safety policies

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
Incentive and recognition programs
Equity stock purchase
401(k) contribution and pension