Quantitative Model Analyst 2 – Loans Modeling

U.S. Bank

. Build complex statistical models for the income statement .

Posted 10/6/2026full-timeUnited StatesMid-LevelSenior💰 $86,360 - $101,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in building and validating complex statistical models, particularly for financial decision-making in banking. Proficient in utilizing Python for model validation and demonstrating strong analytical and communication skills to convey modeling results to stakeholders.

Highest-signal resume keywords

Statistical ModelingModel Validation Using PythonRegression TechniquesQuantitative Risk AnalysisProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelsRegression TechniquesTime Series TechniquesMacroeconomic ForecastingData CompilationProgramming SkillsQualitative AnalysisModel Development DocumentationModel Validation MethodologiesRisk Management Approaches

Soft Skills

Analytical SkillsOrganizational SkillsProblem-Solving SkillsNegotiation SkillsInterpersonal Communication

Industry Keywords

Financial Decision-MakingBank ProductsRegulatory RulesRisk FactorsU.S. Bank Policies

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Build complex statistical models for the income statement
Estimate, validate, test, document, implement, and maintain macroeconomic forecasting model frameworks
Develop models covering various bank products and related functions
Support Treasury’s financial decision-making process through model development
Create model development and/or validation documentation, including presentations, written reports, model or reporting code documentation, business requirements, monitoring reports and related code, and procedures
Communicate modeling approaches and results to stakeholders across the bank

Requirements

What you’ll need

Bachelor’s degree in a quantitative field, and three or more years of relevant experience OR MA/MS in a quantitative field, and less than three 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 Python or similar statistical package
Thorough data compilation, programming skills, and qualitative analysis skills
Thorough 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
Ability 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