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Director Model Risk Governance Jobs in Ogden, UT

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Director Model Risk Governance information

See Ogden, UT salary details

$52.8K

$140.1K

$254.4K

How much do director model risk governance jobs pay per year?

As of Sep 9, 2026, the average yearly pay for director model risk governance in Ogden, UT is $140,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $163,900.00 per year, depending on experience, location, and employer.

What is a director model risk governance?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What are the key skills and qualifications needed to thrive as a director model risk governance?

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are some common challenges faced by a director model risk governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.

What is the difference between Director Model Risk Governance vs Model Risk Analyst?

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

What job categories do people searching Director Model Risk Governance jobs in Ogden, UT look for?

The top searched job categories for Director Model Risk Governance jobs in Ogden, UT are:

What cities near Ogden, UT are hiring for Director Model Risk Governance jobs?

Cities near Ogden, UT with the most Director Model Risk Governance job openings:

Director Model Risk Governance jobs near you
Infographic showing various Director Model Risk Governance job openings in Ogden, UT as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $140,117 per year, or $67.4 per hour.

Financial Crimes Model Analyst

Salt Lake City, UT • On-site

Stride Bank Na
See more jobs at Stride Bank Naexternal

Other

Posted 7 days ago

Job description

Job Details

Job Location: SLC - Salt Lake City, UT 84111

Position Type: Full Time

Education Level: 4 Year Degree

Travel Percentage: Negligible

Job Shift: Day

Job Category: Banking

The Financial Crimes Model Analyst plays a critical role in designing, validating, and optimizing analytical models that support financial crime prevention, including fraud, AML/KYC, and sanctions monitoring. This role leverages modern data-agnostic, low/no-code analytical platforms and machine-learning tooling to operationalize robust detection logic, integrate LLM/SLM outputs responsibly, and ensure alignment with Model Risk Management (MRM) standards.

PRINCIPAL DUTIES AND RESPONSIBILITIES
  • Designs, validates, and enhances financial crime detection models across fraud, AML/KYC screening, and related domains.
  • Applies statistical techniques to evaluate and calibrate LLM/SLM outputs when used in decision-support workflows.
  • Conducts ablation studies, back testing, and reproducible experiments to ensure model stability and business impact.
  • Optimizes model and pipeline efficiency, including latency, throughput, and computational performance.
  • Develops, tracks, and interprets performance metrics.
  • Implements monitoring for drift, bias, degradation, and shifts.
  • Produces audit-ready MRM documentation, including validation plans, governance artifacts, explainability notes, and calibration reports.
  • Maintains model health dashboards and reporting for executives, governance bodies, and oversight functions.
  • Partners with internal and external data engineers and vendor partners to maintain reliable inputs and production workflows.
  • Develops SQL and Python assets for exploration, experimentation, reporting, and automated artifact generation.
  • Maintains clear and comprehensive documentation, including data dictionaries, model cards, decision logic, and workflow diagrams.
  • Works cross-functionally with engineering, product, compliance, risk, and vendor teams to deploy and maintain models.
  • Translates complex analytical concepts into accessible insights for varied technical and business audiences.

Non-Essential Functions: Performs other duties as assigned.

QualificationsEDUCATION AND/OR EXPERIENCE
  • Bachelor’s degree in Statistics, Econometrics, Data Science, Mathematics, Computer Science, or a related quantitative field, required; Master’s degree, preferred.
  • 3-5 years’ experience in model development, evaluation, monitoring, risk governance, or model lifecycle management supporting BSA/AML compliance, fraud and/or case investigation, or experience in quality assurance/control or internal audit, required.
  • Hands-on expertise in SQL and Python for analysis and rapid prototyping, required.
  • Familiarity with modern modeling techniques, or similar low/no-code platforms, and the responsible use of LLM/SLM capabilities, required.
  • Experience producing governance-grade validation or audit documentation, required.
  • Exposure to financial crime domains (AML, KYC, fraud), preferred.
  • CAMS and/or CAFP certifications, preferred.
KNOWLEDGE, SKILLS, AND ABILITIES
  • Strong understanding of supervised/unsupervised ML evaluation, calibration, drift detection, and explainability methods.
  • Knowledge of data quality domains and data lineage principles.
  • Familiarity with AI model governance concepts, including MRM standards and regulatory expectations.
  • Ability to develop and maintain dashboards and report for model health and risk indicators.
  • Knowledge of regulatory environment(s) and emerging BSA/AML and fraud trends.
  • Strong investigative, written, and oral communication skills.
  • Thorough and detail-oriented.
  • Strong commitment to ethics, and the ability to understand a variety of issues and perspectives.
  • Understanding of the banking industry, including bank partnerships with fintech companies.
  • Multitasks effectively and takes action promptly, both independently and in a team environment.
  • Handles highly confidential information with appropriate discretion, and works well in a high volume, fast paced environment.
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