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Director Model Risk Governance Jobs in Florida (NOW HIRING)

Climate First Bank

Risk Officer

Saint Petersburg, FL · On-site +1

... Board of Directors. What You'll Contribute: Enterprise Risk Management Leadership * Develop ... Governance, Reporting & Compliance * Ensure compliance with regulatory requirements and internal ...

New

MUFG

Business Unit Risk Manager, HR & ARM

Tampa, FL · Hybrid

The Director, Business Unit Risk Manager (BURM) is a senior First Line of Defense (FLoD) leader ... Governance & Stakeholder Engagement Act as primary risk liaison for the business units with ORM ...

White & Case LLP

Analyst, Governance and Risk

Tampa, FL · On-site

... models, while safeguarding sensitive client information against cyber threats and other business ... Position Summary The Analyst, Governance and Risk plays a pivotal role in protecting the firm ...

SoFi

Staff Risk AI & Data Engineer

Jacksonville, FL · On-site

They are seeking a Staff Risk AI & Data Engineer to lead a high-performing engineering pod and ... modeling, observability, governance, and data validation practices. • Provide technical ...

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All JobsModel Risk Governance JobsDirector Model Risk Governance JobsDirector Model Risk Governance Jobs in Florida

Director Model Risk Governance information

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 are the key skills and qualifications needed to thrive as a Director of Model Risk Governance, and why are they important?

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 Director Model Risk Governance roles?

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 some common challenges faced by a Director of 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.
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Director Model Risk Governance jobs near you
Infographic showing various Director Model Risk Governance job openings in Florida as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% In-person, 2% Hybrid, and 12% Remote job distribution.
AVP, IT & AI Governance

AVP, IT & AI Governance

Bayview Asset Management

Coral Gables, FL

$150K - $187K/yr

Full-time

Re-posted 10 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

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