Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
U.S. Bank

Quantitative Model Analyst – Wholesale Modeling

U.S. Bank

. Support development, maintenance, and monitoring of expected loss forecasting models for the Commercial & Industrial portfolio .

Posted 10/28/2026full-timeUnited StatesMid-LevelSenior💰 $132,260 - $155,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quantitative analysis, predictive modeling, and credit risk concepts, with strong capabilities in data preparation, analysis, and documentation. Proficient in using analytics tools and programming languages to support model development and performance monitoring.

Highest-signal resume keywords
Quantitative AnalysisPredictive ModelingPython/R/SAS ProgrammingSQL ProficiencyCredit Risk Concepts

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Quantitative AnalysisPredictive ModelingStatistical TechniquesData PreparationData AnalysisModel DevelopmentPerformance MetricsQuality ChecksDocumentationData Visualization
Soft Skills
Attention to DetailClear CommunicationOrganizational SkillsProblem-Solving SkillsProject Management
Tools & Technologies
PythonRSASSQLMicrosoft ExcelMicrosoft PowerPointPower BIAWSAzureGit
Industry Keywords
Credit RiskModel GovernanceModel ValidationData GovernanceRegulatory Compliance

Tech Stack

Tools & technologies
AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact
  • Support development, maintenance, and monitoring of expected loss forecasting models for the Commercial & Industrial portfolio
  • Support model development work for Commercial & Industrial credit risk
  • Prepare data, run analyses, and document results
  • Partner with credit portfolio risk management, finance, model validation, and audit stakeholders
  • Design model development plans covering model design, methodology, selection, testing, benchmarking, and documentation under senior model developer guidance
  • Compile datasets, perform quality checks, and run exploratory analyses
  • Understand data definitions and document changes in portfolio attributes or reporting needs
  • Prepare routine performance metrics and summaries and flag data or performance issues
  • Prepare exhibits, tables, and written summaries for governance, validation, and regulatory-related materials
  • Identify opportunities to streamline data pulls, reporting, and repeatable analyses
  • Collaborate with onshore and offshore partners on repeatable data and reporting tasks

Requirements

What you’ll need
  • Bachelor’s degree in a quantitative field, and eight or more 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
  • Experience supporting quantitative analysis and basic predictive modeling
  • Ability to explain results clearly to technical and non-technical partners
  • Working knowledge of common analytics tools (e.g., Python/R/SAS, SQL)
  • Strong attention to detail and ability to execute well-defined tasks in a controlled environment
  • Willingness to learn credit risk concepts and governance expectations
  • Proficiency with at least one programming or analytics tool (e.g., Python, R, SAS, SQL)
  • Clear written and verbal communication skills
  • Comfort working with defined controls and review processes
  • Ability to manage multiple tasks, meet deadlines, and maintain quality
  • Strong analytical, organizational, problem-solving, and project-management skills
  • Experience working with moderately large datasets and applying standard statistical techniques (e.g., regression, time series basics) is a plus
  • Familiarity with credit risk concepts or model governance/validation processes is a plus
  • Comfort using Microsoft Excel and PowerPoint
  • Experience writing clean, well-documented code in Python, R, SAS, or SQL
  • Familiarity with SQL and relational databases
  • Familiarity with basic version control concepts (e.g., Git) is a plus
  • Exposure to cloud-based analytics environments (e.g., AWS or Azure) is helpful but not required
  • Experience using Microsoft Excel, PowerPoint, and Word
  • Exposure to basic data visualization tools (e.g., Power BI or similar) is a plus
  • 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