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U.S. Bank

Model Validation Manager – Balance Sheet Modeling

U.S. Bank

Model Validation Manager leading validation efforts for Balance Sheet models at U.S. Bank.

Posted 6/16/2026full-timeMinneapolis • California, Illinois, Minnesota, New York, North Carolina • 🇺🇸 United StatesSeniorLead💰 $170,255 - $200,300 per yearWebsite

Tech Stack

Tools & technologies
PythonSQLVBA

About the role

Key responsibilities & impact
  • Leads a highly skilled analytic team to independently review and validate a wide range of models including treasury, liquidity, PPNR, interest rate risk, and general financial forecasting.
  • Assesses model risk through pre-implementation validations, periodic validations and monitoring activities that independently challenge conceptual design/methodology, reference data, processes, and performance.
  • Identifies corrective actions that promote model risk management process improvements and ensure timely remediation of the identified issues.
  • Leads the team in identifying and implementing a process to conduct a diverse set of sophisticated analyses of models and for effectively managing tasks/resources to shepherd each project to its completion in a timely fashion.
  • Validation produces reports challenging model assumptions, limitations, processes, and documentation.
  • Develops and leads a team to establish and continuously enhance model validation processes involving execution of thorough testing and critical review of conceptual and performance aspects of the models through creation of alternative benchmark approaches, back testing, stress and sensitivity testing.
  • Responsible for review of independently authored reports detailing results of analyses to ensure results are presented in a manner accessible to various levels of management and quantitative backgrounds.
  • Interface with key stakeholders throughout validation process, including regulators and internal audit, to discuss justification and reasoning behind validation and review findings.

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.
  • Strong background in at least one statistical programming language such as SAS, Python or R. Familiarity with VBA, SQL, or Matlab is a plus.
  • 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.
  • Strong background and practical experience developing and/or validating models used for Asset and Liability Management, deposit balance forecasting, PPNR, liquidity risk, interest rate risk, and general financial forecasting.
  • Experience in other related areas such as MSR valuation models, market-risk models, economic scenarios, and/or credit risk also a plus.
  • Thorough knowledge of applicable regulatory rules, guidance, or supervisory letters.
  • In depth knowledge of Bank products and services.
  • Demonstrated independence, teamwork and leadership skills.
  • Strong analytical, organizational, problem-solving, negotiation, and project management skills.
  • Excellent verbal and written communication skills are necessary (ability to explain complex ideas in simple, non-technical language).
  • Ability to build strong relations with peers, business line managers, and colleagues across the bank.
  • Highly motivated with ability to learn and understand various business lines and their function within the organization.
  • Strong leadership and organizational skills, ability to manage multiple teams and work on multiple assignments concurrently.
  • Familiarity with vendor platforms such as: QRM, Polypaths, Yield Book, Risk Metrics, and Bloomberg.

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

ATS Keywords

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Hard Skills & Tools
quantitative modelingregression techniquesparametric algorithmsnon-parametric algorithmstime series techniquesmodel validation testsSASPythonRdata compilation
Soft Skills
leadershipteamworkanalytical skillsorganizational skillsproblem-solvingnegotiationproject managementcommunication skillsrelationship buildingmotivation
Certifications
Bachelor's degreeMA/MS/PhD