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Model Risk Governance Framework and Reporting Manager

Job in Duluth, St. Louis County, Minnesota, 55806, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-13
Job specializations:
  • Finance & Banking
    Risk Manager/Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

• Enhancing, implementing, and maintaining the model risk management program within the Bank

• Ensuring overall compliance of the MRM program with regulatory guidance on model risk management, staying current with changes in regulatory expectations and leading industry practices

• Providing training and communication of the expectations of the MRM program to stakeholders across the organization

• Maintain and report on the MRM control inventory, execution, and evidence

• Oversee reporting related to model risk and the MRM program for presentation to senior management and during risk management committees

• Oversee the creation of accurate and professional reports, presentations and dashboards distributed to MRM senior leadership, managing committee and Board

• Oversee the design and execution of process improvements that focus on report automation

Requirements
  • 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, time 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
Hard Skills
  • quantitative modeling
  • regression techniques
  • parametric algorithms
  • non-parametric algorithms
  • time series techniques
  • statistical models
  • model validation tests
  • data compilation
  • programming skills
  • qualitative analysis
Soft Skills
  • communication
  • leadership
  • training
  • organizational skills
  • presentation skills
Certifications & Qualifications
  • Bachelor’s degree
  • MA
  • MS
  • PhD
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