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Model Risk Jobs in Utah (NOW HIRING)

Vendor Management, Licensing & Registration, Tools/EUCs, Models, and Tools inventories per Firm guidelines. Education and/or Experience * 5+ years' experience in risk management and/or related ...

Credit Risk

Salt Lake City, UT · On-site

$90 - $170/hr

Assess risk of transactions through reviews of quantitative models, portfolio analysis, stress testing, and other methods * Perform counterparty reviews, including recommending appropriate internal ...

New

E*TRADE Risk Officer

Sandy, UT · On-site

$120 - $170/hr

Ensure continuous and appropriate supervisory coverage, working with Management, Site Leaders, and the Senior Risk Officer to maintain coverage models and back-up plans.Oversee adherence to the E*

New

E*TRADE Risk Officer

Sandy, UT · On-site

$120 - $180/hr

Ensure continuous and appropriate supervisory coverage, working with Management, Site Leaders, and the Senior Risk Officer to maintain coverage models and back‑up plans. * Oversee adherence to the ...

New

Lead AI Compliance Testing

Draper, UT · Hybrid

$146K/yr

Collaborate with Technology, AI/Model Risk, Enterprise Risk, Data Governance, Privacy, Legal, and business stakeholders to review AI initiatives, challenge control design, and escalate risks in ...

Showing results 21-40

Model Risk information

See Utah salary details

$13

$27

$67

How much do model risk jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for model risk in Utah is $27.62, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $35.24 per hour, depending on experience, location, and employer.

What is model risk?

Model risk refers to the potential for adverse consequences resulting from decisions based on incorrect or misused models. In financial institutions, model risk can arise if a model's assumptions are flawed, if the data input is poor, or if the model is applied inappropriately. Managing model risk involves validating models, monitoring their performance, and ensuring that they are used within their intended scope. Effective model risk management helps organizations avoid significant financial losses and comply with regulatory requirements.

What are some typical challenges faced by professionals working in model risk, and how can they be addressed?

Professionals in Model Risk often encounter challenges such as ensuring model accuracy, managing regulatory compliance, and effectively communicating complex technical findings to non-technical stakeholders. Addressing these challenges requires a strong understanding of both quantitative modeling and relevant regulations, as well as strong collaboration skills to work with model developers, auditors, and business units. Staying informed about evolving regulatory standards and participating in ongoing training can also help model risk professionals remain effective and add value to their organizations.

What are the key skills and qualifications needed to thrive as a model risk analyst, and why are they important?

To thrive as a Model Risk Analyst, you need a solid background in quantitative analysis, statistics, or finance, often supported by an advanced degree in a related field. Familiarity with model validation tools, programming languages such as Python or R, and regulatory frameworks like SR 11-7 is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for evaluating models and presenting findings to stakeholders. These skills ensure model integrity, regulatory compliance, and risk mitigation in financial institutions.

What is the difference between Model Risk vs Model Validation?

AspectModel RiskModel Validation
Primary FocusIdentifying, assessing, and mitigating risks associated with modelsEvaluating and testing models to ensure accuracy and reliability
Required CredentialsQuantitative skills, risk management certifications, industry experienceQuantitative expertise, validation certifications, industry knowledge
Work EnvironmentRisk management teams within financial institutions or firmsModel validation teams, often within risk or model development departments
Industry UsageUsed across banking, insurance, and investment firms to manage model-related risksCommonly employed in financial services to verify model performance

Model Risk focuses on managing the potential negative impacts of models, including errors and misuse, while Model Validation concentrates on testing and confirming the accuracy and robustness of models. Both roles are essential in financial industries to ensure models are reliable and risks are minimized.

What does a model risk do?

A model risk professional assesses and manages the risks associated with using mathematical and statistical models in financial and operational decision-making. They review model accuracy, validate assumptions, and ensure compliance with regulatory standards, often using tools like SAS or R. Their work helps prevent financial loss due to model errors or misestimations.

What does a model risk specialist do?

A model risk specialist evaluates and manages risks associated with financial or operational models used by organizations. They review model assumptions, validate model performance, and ensure compliance with regulatory standards, often using statistical and analytical tools. Their work helps prevent model errors that could lead to financial loss or regulatory issues.
Infographic showing various Model Risk job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $57,444 per year, or $27.6 per hour.

Operations Research Analyst, Risk Analysis

AMERICAN SYSTEMS

Hill Air Force Base, UT • On-site

$150K - $190K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago


Job description

AMERICAN SYSTEMS is an employee-owned federal government contractor supporting national priority programs through our strategic solutions in the areas of Information Technology, Test & Evaluation, Program Mission Support, Engineering & Analysis, and Training.


American Systems is seeking Senior Project Schedulers and Senior Schedule Risk Analysts to support current and future task orders for DoW program offices and PEOs.  These roles will support complex weapon system acquisition programs and work closely with government and industry stakeholders to develop, analyze, and improve program schedules and schedule risk profiles.

The ideal candidate will bring deep expertise in schedule development, schedule risk analysis, and executive-level communication, along with experience engaging new customers and shaping schedule management practices in a federal acquisition environment.

Key Responsibilities

  • Develop, maintain, and analyze Integrated Master Schedules (IMS) for large, complex DoD acquisition programs.
  • Perform schedule risk assessments for weapon system programs, including the development of schedule logic, identification of driving paths, and critical dependencies.
  • Conduct Schedule Risk Analysis (SRA) using Monte Carlo simulation techniques to quantify schedule uncertainty and identify key risk drivers.
  • Provide actionable recommendations to mitigate schedule risks and improve program execution.
  • Support planning and execution of customer engagements, including standing up new schedule management processes or improving existing processes.
  • Interface directly with government program managers, technical leads, and executive leadership, delivering clear, concise schedule briefings and decision-support products.
  • Conducts logical analysis of management problems and management information requirements and formulates mathematical models of problems for solutions by computer.
  • Prepares mathematical models of problem areas in forms of one of several equations that relate constants and variables, restrictions, alternatives, conflicting objectives and their numerical parameters.
  • Gathers, relates, identifies data with variables in models by applying personal judgment and mathematical tests.
  • Reviews operations and testing of models to ensure adequacy or determines needs for reformulation.
  • Analyzes operations methods, which require substantial competence in the rigorous methods of scientific and mathematical inquiry and analysis.
  • Prepares written, non-technical reports to management, indicating solutions or range of possible alternatives in rank of desirability and probability of success when there is no single solution.
  • May be assigned responsibility for the management of the function, including associated staff.
  • Support proposal efforts, contract start-up activities, and transition-in planning as required.

  • Bachelor's degree and 11+ years of related work experience
  • Minimum of 10 years of experience in a scheduling, planning, or schedule risk role within a defense, space, or federal acquisition environment.
  • Demonstrated proficiency in Microsoft Project, with at least 5 years of hands-on experience using MS Project or comparable scheduling tools.
  • Proven experience evaluating schedule risk on complex, multi-disciplinary programs, including hands-on experience conducting Monte Carlo-based schedule risk analyses.
  • Experience planning and executing customer engagements, particularly with new customers, to implement or enhance schedule management practices.
  • Demonstrated ability to brief and interact with executive-level stakeholders, translating complex schedule data into decision-quality insights.

AMERICAN SYSTEMS is committed to pay transparency for our applicants and employee-owners. The salary range for this position is USD $150,000.00/Yr. - USD $190,000/Yr. Actual compensation will be determined based on several factors permitted by law. AMERICAN SYSTEMS provides for the welfare of its employees and their dependents through a comprehensive benefits program by offering healthcare benefits, paid leave, retirement plans, insurance programs, and education and training assistance.
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