Model Validation Manager – Mortgage, Retail Credit Loss

U.S. Bank

Model Validation Manager leading validation efforts for mortgage and retail credit loss forecasting models at U.S. Bank.

Posted 4/30/2026full-timeMinneapolis • California, Illinois, Minnesota, New York, North Carolina • 🇺🇸 United StatesSeniorLead💰 $149,515 - $175,900 per yearWebsite

About the role

Key responsibilities & impact

Lead and develop a high‑performing analytics team responsible for independent validation of the Bank’s residential mortgage and retail portfolio credit loss forecasting models supporting CCAR stress testing and CECL requirements.
Oversee end‑to‑end model validation activities, including pre‑implementation validations, periodic reviews, and ongoing monitoring.
Ensure rigorous execution of validation analyses and drive continuous enhancement of validation standards and processes.
Review and approve validation deliverables to ensure conclusions are well‑supported, clearly documented, and communicated effectively to stakeholders with varying levels of technical expertise.
Identify model risks and findings, drive corrective actions, and ensure timely remediation in alignment with Model Risk Management program requirements.
Manage validation execution against plan, including resource allocation, coaching, prioritization, and quality control across the validation portfolio.
Engage and partner with business stakeholders throughout validation and remediation efforts, fostering strong relationships while maintaining independent and credible challenge.
Manage internal audits and regulatory examinations, serving as a key point of contact for regulators, auditors, and senior stakeholders to clearly articulate validation analyses, findings, and conclusions, and effectively address supervisory feedback.

Requirements

What you’ll need

Bachelor’s degree (MA/MS/PhD strongly preferred) and nine or more years of relevant experience
Five or more years of experience leading a quantitative modeling team
Extensive knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models
Various model validation tests/methodologies, using SAS or similar statistical package
Advanced data compilation, programming skills and qualitative analysis skills
Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
Thorough knowledge of applicable regulatory rules, guidance, or supervisory letters
In-depth knowledge of Bank products and services
Strong analytical, organizational, problem-solving, negotiation, and project management skills
Excellent interpersonal, verbal and written 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

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Hard Skills & Tools

quantitative modelingregression techniquesparametric algorithmsnon-parametric algorithmstime series techniquesstatistical modelsmodel validation testsdata compilationprogramming skillsqualitative analysis

Soft Skills

analytical skillsorganizational skillsproblem-solving skillsnegotiation skillsproject management skillsinterpersonal skillsverbal communication skillswritten communication skills