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FCRM Model Risk Governance Strategy

Mount Laurel, NJ · On-site

$96.13K - $155.95K/yr

We are looking for a Model Risk Governance Analyst to enhance and implement the model risk governance for the full FCRM's models and AI solutions. This is a critical role that liaises among model ...

Td

FCRM Model Risk Governance Strategy

New York, NY · On-site

$96.13K - $155.95K/yr

We are looking for a Model Risk Governance Analyst to enhance and implement the model risk governance for the full FCRM's models and AI solutions. This is a critical role that liaises among model ...

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How much do model risk governance jobs pay per hour?

As of May 29, 2026, the average hourly pay for model risk governance in the United States is $45.71, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $72.12 per hour, depending on experience, location, and employer.

What is a Model Risk Governance job?

A Model Risk Governance job involves overseeing the policies, procedures, and frameworks used to manage model risk within an organization. Professionals in this role ensure that models used for decision-making in areas like finance, risk management, and compliance are properly validated, monitored, and updated. They work closely with model developers, risk managers, and regulators to enforce governance standards and mitigate potential risks. Key responsibilities include establishing model validation processes, conducting risk assessments, and ensuring compliance with regulatory requirements.

What are the key skills and qualifications needed to thrive in the Model Risk Governance position, and why are they important?

To excel in Model Risk Governance, you typically need a strong background in quantitative finance, statistics, or a related field, often with advanced degrees such as a master's or Ph.D., and experience in risk management. Familiarity with model validation tools, programming languages like Python or R, and regulatory frameworks such as SR 11-7 or Basel guidelines is highly valued. Strong analytical thinking, communication skills, and the ability to manage multiple stakeholders are key soft skills for this position. These competencies ensure effective oversight of model risk, facilitate regulatory compliance, and enable clear communication of complex technical issues to non-technical stakeholders.

What are some typical challenges faced in a Model Risk Governance role?

Professionals in Model Risk Governance often encounter challenges such as keeping up with evolving regulatory requirements, ensuring comprehensive documentation for models, and maintaining effective communication between technical modelers and business stakeholders. Balancing rigorous model validations with tight project timelines can also be demanding, especially when coordinating input from various teams. Overcoming these hurdles requires a proactive approach to learning, strong organizational skills, and the ability to translate complex quantitative issues into actionable insights for decision-makers. These challenges make the work dynamic and offer significant opportunities to influence critical risk management processes within the organization.
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Model Risk Governance jobs near you
Infographic showing various Model Risk Governance job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, 9% Part Time, and 11% Contract. Highlights an 71% In-person, 9% Hybrid, and 20% Remote job distribution, with an average salary of $95,086 per year, or $45.7 per hour.
Head of Governance - Model Risk Management

Head of Governance - Model Risk Management

Vangard, Inc.

Dallas, TX • On-site

Full-time

Posted 17 days ago

Job description

Overview:
We're seeking a strategic and forwardthinking Head of Governance - Model Risk Management to shape and lead an enterprisewide model risk framework in an environment where models, data, and AI are rapidly evolving. This leader will ensure models across the organization are transparent, wellgoverned, and aligned with global regulatory expectations-driving defensible practices, strong oversight, and meaningful risk insight for senior leadership and regulators.
If you are passionate about elevating governance, influencing enterprise decisionmaking, and building a culture of accountability and risk excellence, this is a highimpact opportunity to lead the future of model and AI governance.

Responsibilities:

Framework Leadership

  • Lead the development, adoption and maintenance of the model risk framework, including policies, standards, business processes, and controls.
  • Monitor industry trends to ensure the model risk framework remains effective and efficient in managing evolving risks.
  • Partner with leaders across Vanguard to ensure model risk practices are well integrated with Enterprise, Data, Technology, Operational, and AI risk frameworks.


Committees and Senior Management Engagement

  • Support the Model Risk committee and oversee establishment of supporting Divisional Model Risk Governance forums.
  • Prepare executive-level materials for Risk Committees, Audit Committees and the Board.
  • Provide meaningful insights on model risk themes, emerging issues and model performance trends.
  • Establish robust processes for challenge, escalation and dispute resolution.


Regulatory, Audit and Compliance

  • Serve as liaison for model risk with internal (audit) and external (regulatory) stakeholders.
  • Ensure timely remediation of regulatory and audit findings.
  • Stay current on evolving global regulations, execute gap assessments and drive remediation efforts to ensure on-going compliance.


Model Inventory and Risk Appetite

  • Direct cross-functional processes such as enterprise-wide model inventory attestation to support completeness and accuracy.
  • Support development and reporting of the model risk appetite and associated Key Risk Indicators.


Technology, Data and Processes

  • Partner with the technology product owner to define requirements for model life cycle platforms.
  • Ensure governance processes are automated, scalable and executed to high data quality standards.


Leadership and Stakeholder Management

  • Lead the team of governance professionals.
  • Partner closely with the broader model risk community and connecting stakeholders (Developers, Owners, Validators, IT, Audit, AI and Enterprise Risk).
  • Promote a culture of transparency, accountability and the risk mindset.


Qualifications:

  • Advanced degree in a technical field (e.g., math, statistics, computer science).
  • At least eight years of relevant experience, including four years developing enterprise-wide policies, standards and protocols in model risk, AI or a related discipline.
  • Deep knowledge of model risk frameworks (SR11-7, SS1/23); experience with AI frameworks and the EU AI Act preferred.
  • Ability to drive enterprise-wide change and managing complex stakeholder environments.
  • Strong analytical, problem-solving and decision-making capabilities.
  • Exceptional communication and executive-presence skills with proven experience presenting to senior committees and managing executive-level stakeholders.

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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