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Contract Model Risk Governance Jobs in New York (NOW HIRING)

DTCC

Model Validation Senior Associate

Jersey City, NJ · On-site

Prepare model validation and review presentations to the Model Risk Governance Council (MRGC) meetings for model approval, model issue tracking, and resolution. * Present model validation, review ...

Gemini

Manager, Enterprise Risk

New York, NY · On-site

... contract risk, liquidity risk, and counterparty/exchange risk * Stay current on the evolving ... Serve as a key stakeholder and subject matter expert in the firm's model risk governance program

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Contract Model Risk Governance information

What are some common challenges faced by professionals in contract model risk governance roles, and how can they be addressed?

Professionals in Contract Model Risk Governance often encounter challenges such as keeping up with evolving regulatory requirements, ensuring thorough model documentation, and effectively communicating risk findings to both technical and non-technical stakeholders. Balancing the need for detailed model validation with tight project timelines can also be demanding. To address these challenges, it's important to foster strong cross-functional collaboration, stay updated on industry best practices, and develop clear communication strategies for reporting risk and compliance issues.

What is the difference between Contract Model Risk Governance vs Contract Model Validation?

AspectContract Model Risk GovernanceContract Model Validation
Primary FocusOverseeing and managing risks associated with contract models, ensuring compliance and risk mitigationAssessing and testing contract models to ensure accuracy and reliability
ResponsibilitiesEstablishing policies, monitoring risk exposure, and implementing controlsPerforming independent reviews, testing model assumptions, and validating outputs
Work EnvironmentRisk management teams, compliance departments, regulatory interactionsQuantitative teams, model validation units, audit functions

While Contract Model Risk Governance focuses on managing and overseeing risks related to contract models, Contract Model Validation involves the technical assessment and testing of those models to ensure their accuracy and reliability. Both roles are essential in a comprehensive risk management framework within financial institutions and industries relying on contract models.

What are the key skills and qualifications needed to thrive in contract model risk governance?

To excel in Contract Model Risk Governance, you need a strong background in risk management, quantitative analysis, and familiarity with regulatory requirements, often supported by a degree in finance, mathematics, or a related field. Proficiency with risk management software, model validation tools, and knowledge of frameworks such as SR 11-7 is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for evaluating model risk and collaborating with stakeholders. These skills ensure robust oversight of model risk, regulatory compliance, and support sound decision-making within financial institutions.

What is contract model risk governance?

Contract Model Risk Governance refers to the framework and processes used by organizations to identify, assess, monitor, and mitigate risks associated with the use of models in contracts or contractual obligations. This role ensures that the use of quantitative models in financial and business contracts complies with regulatory standards and internal policies, reducing the likelihood of errors, misinterpretations, or financial losses. Professionals in this field often oversee model validation, implementation, and documentation, and work closely with compliance, risk, and legal teams. Effective governance helps maintain model integrity and supports sound decision-making across the organization.
What are the most commonly searched types of Model Risk Governance jobs in New York? The most popular types of Model Risk Governance jobs in New York are:
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Contract Model Risk Governance jobs near you
Infographic showing various Contract Model Risk Governance job openings in New York as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

VP, AI Risk & Governance

PVH (Tommy Hilfiger/Calvin Klein)

Manhattan, NY • On-site

$238.80 - $318.30/hr

Other

Posted 5 days ago

PVH Corp. rating

6.3

Company rating: 6.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Description and Requirements

The Team You Will Join

Join our Global Risk Management Group, where you’ll play a key role in safeguarding the company, ensuring we deliver on our commitments to customers and stakeholders, and driving responsible growth. As part of our team, you’ll identify, monitor, and mitigate both financial and non-financial risks across the organization. Leverage your expertise as the second line of defense to advise our business on effective risk management strategies. This means challenging ideas, implementing robust controls, and enforcing guardrails to foster responsible business growth. Join us in advancing MetLife’s legacy of trust through exemplary risk management practices.

The Opportunity

The Vice President, AI Risk & Governance, is a strategic second-line risk leadership role within Global Risk Management (GRM) responsible for maintaining and evolving MetLife’s AI risk and governance framework.

The role identifies novel and emerging risks presented by artificial intelligence, translates those risks into governance requirements and practical controls, and ensures the enterprise’s AI activities remain aligned to risk appetite, existing financial and non-financial risk governance frameworks and regulatory expectations.

This position has broad enterprise impact through close collaboration within GRM, Data & Analytics, Technology, Legal, Privacy, Information Security, Ethical AI, Data Governance, Model Risk and Business stakeholders. The role helps shape the strategic vision for AI risk management, drives risk-based decisioning in the AI approval process, and strengthens consistency, transparency, and scalability of governance across new and emerging AI initiatives.

The role is critical to enabling AI development and innovation responsibly by balancing business value creation with disciplined risk oversight, clear escalation of material and emerging issues, and ongoing monitoring of AI risk themes, control effectiveness, and emerging regulatory developments.

Key Responsibilities

  • Lead day-to-day execution of the AI governance approval process, including risk-based review, challenge, escalation, and alignment to enterprise risk appetite and responsible AI principles.
  • Provide credible second-line challenge and thought leadership to senior stakeholders on acceptable use, control requirements, and mitigation strategies for AI risks.
  • Translate risk appetite and regulatory expectations into actionable governance requirements and control expectations.
  • Identify and assess novel, emerging, and cross-cutting risks arising from AI.
  • Drive strategic improvements to financial and non-financial AI risk and governance processes, including transparency, efficiency, operating model design, and reporting.
  • Help implement the strategic vision for AI risk management, including scalable governance, stronger risk identification, and monitoring capabilities.
  • Partner with control functions and business teams to embed effective controls across the AI lifecycle.
  • Operationalize risk-based integration across governance processes at the workflow and control level.

Required Qualifications

  • 12+ years’ risk management experience within financial services or regulated industry.
  • Deep understanding of AI technologies and associated risks, including machine learning, generative AI, agentic AI, model risk, and data risk, along with their application to business processes and systems.
  • Proven experience designing, implementing, and enhancing enterprise governance frameworks, policies, standards, and approval processes.
  • Demonstrated success operating within complex, highly matrixed organizations and influencing senior stakeholders across functions.
  • Exceptional strategic thinking, judgment, problem-solving, and executive communication skills with the ability to identify emerging and regulatory issues and translate them into practical governance actions.
  • Strong knowledge of regulatory, governance, and control expectations related to AI, models, data, and responsible AI practices.
  • Bachelor’s degree required.

Preferred Qualifications

  • Advanced degree in data science, applied mathematics, AI/ML, actuarial science or a related field preferred.

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

The expected salary range for this position is $238,800 - $318,300. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.

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