1

Contract Model Risk Governance Jobs in Florida (NOW HIRING)

Responsible for assessing model inherent risk ratings, model declassifications applications, materiality of model changes, and other reviews of models as part of model validation-related governance ...

New

Investigating external risk data and emerging fraud patterns to inform roadmap prioritization * Partnering with ML Platform teams to productionize models in AWS and improve lifecycle governance

The position plays a key role in strengthening risk culture, governance discipline, and control ... a contract of employment between any employee or group of employees and Emigrant Savings Bank and ...

The position plays a key role in strengthening risk culture, governance discipline, and control ... a contract of employment between any employee or group of employees and Emigrant Savings Bank and ...

The position plays a key role in strengthening risk culture, governance discipline, and control ... a contract of employment between any employee or group of employees and Emigrant Savings Bank and ...

next page

Showing results 1-20

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, and why are they important?

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 Florida? The most popular types of Model Risk Governance jobs in Florida are:
What job categories do people searching Contract Model Risk Governance jobs in Florida look for? The top searched job categories for Contract Model Risk Governance jobs in Florida are:
What cities in Florida are hiring for Contract Model Risk Governance jobs? Cities in Florida with the most Contract Model Risk Governance job openings:
AVP, IT & AI Governance

$150K - $187K/yr

Full-time

Posted 6 days ago


Job description

Overview
ABOUT US

Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities, mortgage servicing rights, and other credit-related assets.

POSITION SUMMARY

Bayview Asset Management is seeking a highly experienced Assistant Vice President (AVP), IT & AI Governance to lead the firm’s enterprise technology governance function. This role is responsible for establishing and overseeing a robust IT and Artificial Intelligence (AI) governance framework that ensures alignment with business strategy, regulatory requirements, risk management standards, and operational excellence.

The AVP will oversee IT governance, AI governance, model risk alignment, technology risk management, and regulatory compliance across the organization. This role serves as a key control function, partnering with IT, Risk, Compliance, Legal, Information Security, and business leadership to ensure safe, responsible, and compliant use of technology — including emerging AI and Generative AI capabilities.

RESPONSIBILITIES:

IT & AI Governance Leadership

  • Lead enterprise IT and AI governance frameworks aligned with NIST, SCF, NYDFS, and regulatory best practices
  • Embed AI governance into IT, data, and enterprise risk programs
  • Ensure governance is scalable, repeatable, and audit-ready

AI Risk & Model Governance

  • Partner with Model Risk Management to align with SR 117 and OCC/Fed guidance
  • Set standards for AI/model documentation and lifecycle oversight
  • Govern internal, thirdparty, and Generative AI solutions
  • Maintain AI risk taxonomy, reporting, and escalation

IT & AI Risk Management

 

  • Identify, assess, and monitor IT and AI risks
  • Own mitigation strategies, control frameworks, and centralized risk register
  • Lead risk assessments, governance reviews, and control testing

Regulatory, Audit & Compliance

  • Ensure compliance with IT and AI regulatory requirements
  • Establish AI compliance monitoring
  • Serve as primary liaison for audits and regulatory exams
  • Maintain documentation, evidence retention, and audit trails

Policy & Control Frameworks

  • Develop and maintain IT and AI policies, standards, and procedures
  • Lead periodic reviews and operational adoption

Strategy & Emerging Technology

  • Align governance with IT and digital transformation strategy
  • Provide governance review for new technology initiatives
  • Assess emerging AI technologies prior to adoption

ThirdParty & Vendor AI Governance

  • Define AI governance standards for vendors
  • Partner with Vendor Risk to assess controls, transparency, validation, and data protections
  • Ensure AIspecific contractual safeguards

Metrics & Reporting

  • Define KPIs and KRIs for IT and AI governance
  • Report risk posture, compliance status, and remediation to leadership
  • Drive continuous improvement

Stakeholder Engagement & Culture

  • Advise leaders on responsible AI adoption
  • Promote ethical technology use and risk awareness
  • Lead governance training and crossfunctional forums

Leadership

  • Lead and develop the IT Governance team
  • Build enterprise AI governance capabilities
  • Establish clear accountability across IT, Risk, Compliance, and business teams
SKILLS & REQUIRMENTS:
  • Strong knowledge of IT governance frameworks and standards (COBIT, ITIL, NIST, ISO 27001)
  • Proficiency with IT governance, risk, and compliance tools
  • Solid understanding of IT infrastructure, applications, and cybersecurity principles
  • Excellent written and verbal communication skills; able to convey complex concepts to nontechnical audiences
  • Strong analytical and critical thinking skills with sound judgment in complex situations
  • Proven leadership and people management capabilities
  • Experience leading projects and initiatives from inception through execution
  • Ability to manage multiple priorities in a fastpaced environment
  • Demonstrated ability to develop and implement IT policies, procedures, and controls
  • Strong interpersonal skills with the ability to influence stakeholders at all levels
QUALIFICATIONS:
  • Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field. Master’s degree preferred
  • A minimum of 8-10 years of experience in IT governance, risk management, or a related field, with at least 3 years in a leadership role
  • Experience with regulatory compliance and risk management in the IT domain
Certifications, Licenses, and/or Registration 
  • Certifications such as CISA, CISM, CRISC, or CGEIT are highly desirable.
EEOC

Bayview is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

Qualifications:UNAVAILABLEEducation:UNAVAILABLEEmployment Type: FULL_TIME