ZipRecruiter

Log In

1

Model Validation Manager Jobs in Utah (NOW HIRING)

Medallion Bank

Credit Risk Manager

Salt Lake City, UT · Hybrid

Analytical professional responsible for supporting credit risk management across Medallion Bank ... Partner with Data Analytics and Finance teams on data acquisition, model validation support ...

Medallion Bank

Credit Risk Manager

Salt Lake City, UT · On-site

Analytical professional responsible for supporting credit risk management across Medallion Bank ... Partner with Data Analytics and Finance teams on data acquisition, model validation support ...

SoFi

Fraud Model Analyst

Cottonwood Heights, UT

This individual will partner closely with Model Risk Management (MRM), Legal, Compliance, Fraud Strategy, and external vendors to support onboarding, validation, and ongoing monitoring of vendor ...

SoFi

Fraud Model Analyst

Cottonwood Heights, UT · On-site

This individual will partner closely with Model Risk Management (MRM), Legal, Compliance, Fraud Strategy, and external vendors to support onboarding, validation, and ongoing monitoring of vendor ...

next page

Showing results 1-20

People also search for

All JobsModel Validation Manager JobsModel Validation Manager Jobs in Utah

Model Validation Manager information

See Utah salary details

$43.2K

$96K

$146.1K

How much do model validation manager jobs pay per year?

As of May 30, 2026, the average yearly pay for model validation manager in Utah is $95,967.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,800.00 and $120,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Model Validation Manager, and why are they important?

To thrive as a Model Validation Manager, you need strong quantitative analysis skills, knowledge of risk management, and an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with technical tools such as Python, R, SAS, and model risk management frameworks, as well as experience with regulatory compliance, is typically required. Exceptional problem-solving, communication, and stakeholder management abilities are important soft skills for this role. These skills ensure effective validation of financial models, regulatory compliance, and clear communication of complex findings to non-technical audiences.

How does a Model Validation Manager typically collaborate with other teams during the model validation process?

A Model Validation Manager works closely with model developers, risk management teams, and internal audit to ensure models meet regulatory and business standards. Collaboration often involves reviewing model documentation, discussing model assumptions and methodologies, and providing feedback for improvements. Effective cross-functional communication is essential, as validation managers must balance technical analysis with regulatory compliance and business objectives. Regular meetings and clear reporting lines help facilitate this collaboration, ensuring that model risks are identified and addressed promptly.

What does a Model Validation Manager do?

A Model Validation Manager is responsible for overseeing the validation of financial, risk, or predictive models within an organization. Their primary duties include ensuring that models are accurate, reliable, and compliant with regulatory requirements. They lead teams that assess model performance, identify potential weaknesses, and recommend improvements. This role helps maintain the integrity of models used in decision-making processes, particularly in industries like banking and finance.

What is the difference between Model Validation Manager vs Quantitative Analyst?

AspectModel Validation ManagerQuantitative Analyst
CredentialsTypically requires advanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM are commonOften holds degrees in finance, economics, or mathematics; certifications like CFA are also common
Work EnvironmentWorks in risk management, model validation teams within banks or financial institutionsWorks in trading, investment analysis, or risk departments within financial firms
Industry UsagePrimarily in banking, asset management, and financial services for model risk assessmentAcross investment firms, hedge funds, and banks for market analysis and trading strategies

The Model Validation Manager focuses on reviewing and validating financial models to ensure accuracy and compliance, often working within risk management teams. In contrast, a Quantitative Analyst develops and applies mathematical models for trading, investment, or risk purposes. While both roles require strong quantitative skills and similar credentials, their core responsibilities and work environments differ significantly.

What are the most commonly searched types of Model Validation jobs in Utah? The most popular types of Model Validation jobs in Utah are:
What are popular job titles related to Model Validation Manager jobs in Utah? For Model Validation Manager jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Model Validation Manager jobs in Utah look for? The top searched job categories for Model Validation Manager jobs in Utah are:
What cities in Utah are hiring for Model Validation Manager jobs? Cities in Utah with the most Model Validation Manager job openings:
Model Validation Manager jobs near you
Model Validation Analyst

Model Validation Analyst

First Electronic Bank

Salt Lake City, UT • On-site

Full-time

Posted 7 days ago

Job description

Description:

At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans, and their businesses. Partnering with some of the most innovative FinTech companies in the nation, we offer a wide range of consumer and commercial credit products on a national basis. Offering revolving lines of credit, private-label credit cards, installment financing programs and more, FEB’s engages with strategic, collaborative partnerships, promoting services and products to provide the most beneficial consumer and commercial financing solutions.

The Model Validation Analyst plays a critical role in ensuring model integrity, regulatory compliance, and sound risk management practices. This role reports to the Head of Credit Risk and Portfolio Analytics Credit and supports the Bank’s strategic partner program by reviewing statistical models used in underwriting and assessing overall model risk across partnerships.


What You'll Do:

  • Review third-party model validation documentation for conceptual soundness and alignment with applicable regulatory guidance.
  • Assess and challenge credit models and underwriting strategies used in loan origination.
  • Maintain a comprehensive inventory of all models used by the Bank, including underwriting, fraud, and marketing models.
  • Evaluate model performance monitoring practices and ensure appropriate tracking of key risk indicators.
  • Partner with Compliance, Legal, and Strategic Partner Management teams to ensure models meet applicable regulatory and internal policy requirements.
  • Prepare reports and present model risk metrics to the Bank’s Credit Committee.
  • Monitor and test credit origination strategies to validate accuracy and consistency of credit decisions.
  • Conduct model and credit risk due diligence for prospective fintech partners.
  • Participate in or lead initiatives to enhance model risk management processes and improve overall risk oversight.
Requirements:

What We're Looking For:


Education & Experience

  • Master’s degree in Statistics, Data Science, Computer Science, Economics, Mathematics, or a related quantitative field;
  • OR Bachelor’s degree with 3+ years of relevant experience in model development or validation.
  • Prior experience developing and/or validating credit risk models is required.
  • 3+ years of experience in banking, financial services, or a related industry is preferred.

Technical Skills

  • Strong understanding of statistical modeling techniques, including regression and classification models.
  • Ability to evaluate model structure, assumptions, and validation methodologies.
  • Familiarity with machine learning models and their application in credit decisioning.
  • Proficiency in one or more programming languages/tools, such as SQL, Python, R, or SAS.
  • Working knowledge of credit policies and underwriting frameworks.
  • Familiarity with CECL models is a strong plus.

Professional Skills

  • Ability to work effectively across cross-functional teams, including Compliance, Audit, and Model Risk Management.
  • Strong analytical and critical thinking skills with attention to detail.
  • Effective written and verbal communication skills, including the ability to present technical concepts to non-technical audiences.
  • Strong organizational and prioritization skills in a fast-paced environment.

Additional Information

  • Experience working with regulatory, audit, or model risk management frameworks is a plus.
  • Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook) required.