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

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Contract Model Risk Governance information

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 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 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 popular job titles related to Contract Model Risk Governance jobs in New York?

For Contract Model Risk Governance jobs in New York, the most frequently searched job titles are:

What job categories do people searching Contract Model Risk Governance jobs in New York look for?

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What cities in New York are hiring for Contract Model Risk Governance jobs?

Cities in New York with the most Contract Model Risk Governance job openings:

Contract Model Risk Governance jobs near you
Infographic showing various Contract Model Risk Governance job openings in New York as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior AI/ML Model Validation & Governance Specialist

Manhattan, NY • On-site

Resourceful Talent Group
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Resourceful Talent Groupexternal

$210K/yr

Other

Re-posted 25 days ago

Job description

We are seeking an experienced AI/ML Model Validation and Governance professional to join a highly established financial services organization in New York. This is a full-time hybrid opportunity based in New York City (3 days onsite per week) offering a base salary of up to $210,000, a 10% annual bonus, and a sign-on bonus.

This position will independently evaluate predictive, machine learning, Generative AI, and other advanced analytical models. The ideal candidate combines strong quantitative skills, hands‑on Python and SQL experience, and a thorough understanding of model risk management within a regulated environment.

Key Responsibilities

  • Perform independent validation of predictive, statistical, AI/ML, and Generative AI models.

  • Evaluate model methodology, assumptions, data quality, implementation, performance, limitations, and intended use.

  • Conduct benchmarking, sensitivity analysis, stress testing, and performance testing.

  • Assess model explainability, bias, fairness, robustness, and regulatory compliance.

  • Review models using structured and unstructured data, including NLP, LLM, and RAG‑based solutions.

  • Evaluate model monitoring frameworks, performance thresholds, and governance controls.

  • Document findings clearly and communicate recommendations to model developers, business stakeholders, risk teams, and senior management.

  • Support the continued development of AI governance and model risk standards.

Qualifications

  • Advanced degree in mathematics, statistics, computer science, data science, engineering, economics, or another quantitative discipline.

  • At least 4 years of direct experience in model validation, model risk management, or AI/ML governance.

  • Hands‑on experience independently validating predictive or AI/ML models.

  • Strong Python and SQL skills.

  • Experience with benchmarking, explainability, bias and fairness testing, sensitivity analysis, and ongoing model monitoring.

  • Understanding of model risk management principles and regulatory expectations.

  • Experience working in financial services, insurance, banking, or another regulated industry.

  • Strong written and verbal communication skills.

  • Ability to work onsite in New York City three days per week.

Preferred Qualifications

  • Experience validating Generative AI, LLM, NLP, or RAG‑based solutions.

  • Familiarity with AI governance and responsible AI frameworks.

  • Experience with structured and unstructured datasets.

  • Knowledge of SR 11-7 or comparable model risk management guidance.

  • Experience presenting validation findings to senior stakeholders or governance committees.

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