Quantitative Model Analyst – 2

U.S. Bank

. Perform all phases of large complex model development, validation, and performance management .

Posted 10/26/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling and data analysis, with proficiency in regression techniques and programming languages such as Python and R. Possesses strong project management and communication skills, essential for collaborating with senior management and managing complex model development.

Highest-signal resume keywords

Statistical ModelingSAS ExperiencePython ProgrammingProject ManagementMortgage Industry Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingRegression TechniquesTime Series TechniquesModel ValidationData CompilationProgramming SkillsQualitative AnalysisMortgage Prepayment AnalysisDelinquency AnalysisRisk Management Approaches

Soft Skills

IndependenceTeamworkLeadershipInterpersonal CommunicationWritten CommunicationVerbal Communication

Tools & Technologies

SASRPythonVBAC++

Industry Keywords

Mortgage IndustryMortgage Servicing RightsMarket Risk HedgingFinancial Services RegulationsRegulatory Trends

Tech Stack

Tools & technologies

PythonVBAC++

About the role

Key responsibilities & impact

Perform all phases of large complex model development, validation, and performance management
Aggregate data, design and select models, test, document, validate, implement, and execute models
Interact directly with senior managers
Progress to subject matter expert in one or more areas
Manage responsibilities with limited management direction
Work from a U.S. Bank location three or more days per week

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
Strong statistical modeling background based on technical training or advanced education in a quantitative field
Basic knowledge of regression techniques (linear, logistic), parametric and non-parametric algorithms, time series techniques (ARIMA, GARCH), statistical models, and model validation tests/methodologies
Experience using SAS, R, or similar statistical package
Experience with data compilation and programming skills using Python, VBA, and C++
Qualitative analysis skills
Basic knowledge of the mortgage industry, including mortgage servicing rights (MSR) valuation, market risk hedging, and current coupon/primary mortgage rate generation
Knowledge of quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
Experience modeling or analyzing mortgage prepayments and delinquencies
Basic understanding of applicable laws, regulations, financial services, and regulatory trends affecting the mortgage business
Strong project management skills
Demonstrated independence, teamwork, and leadership skills
Effective interpersonal, written, and verbal communication skills

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