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Model Risk Jobs in Florida (NOW HIRING)

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. * Composes, and assists peers with composing, technical documents for knowledge ...

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. * Composes, and assists peers with composing, technical documents for knowledge ...

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. * Composes, and assists peers with composing, technical documents for knowledge ...

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. * Composes and peer reviews technical documents for knowledge persistence, risk ...

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. * Composes and peer reviews technical documents for knowledge persistence, risk ...

Participate in the oversight of model governance including the validation of model assumptions and results * Assist in formation of risk appetite statements and monitoring of compliance * Identify ...

Participate in the oversight of model governance including the validation of model assumptions and results * Assist in formation of risk appetite statements and monitoring of compliance * Identify ...

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Model Risk information

What are some typical challenges faced by professionals working in Model Risk, and how can they be addressed?

Professionals in Model Risk often encounter challenges such as ensuring model accuracy, managing regulatory compliance, and effectively communicating complex technical findings to non-technical stakeholders. Addressing these challenges requires a strong understanding of both quantitative modeling and relevant regulations, as well as strong collaboration skills to work with model developers, auditors, and business units. Staying informed about evolving regulatory standards and participating in ongoing training can also help model risk professionals remain effective and add value to their organizations.

What are the key skills and qualifications needed to thrive as a Model Risk Analyst, and why are they important?

To thrive as a Model Risk Analyst, you need a solid background in quantitative analysis, statistics, or finance, often supported by an advanced degree in a related field. Familiarity with model validation tools, programming languages such as Python or R, and regulatory frameworks like SR 11-7 is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for evaluating models and presenting findings to stakeholders. These skills ensure model integrity, regulatory compliance, and risk mitigation in financial institutions.

What is the difference between Model Risk vs Model Validation?

AspectModel RiskModel Validation
Primary FocusIdentifying, assessing, and mitigating risks associated with modelsEvaluating and testing models to ensure accuracy and reliability
Required CredentialsQuantitative skills, risk management certifications, industry experienceQuantitative expertise, validation certifications, industry knowledge
Work EnvironmentRisk management teams within financial institutions or firmsModel validation teams, often within risk or model development departments
Industry UsageUsed across banking, insurance, and investment firms to manage model-related risksCommonly employed in financial services to verify model performance

Model Risk focuses on managing the potential negative impacts of models, including errors and misuse, while Model Validation concentrates on testing and confirming the accuracy and robustness of models. Both roles are essential in financial industries to ensure models are reliable and risks are minimized.

What is model risk?

Model risk refers to the potential for adverse consequences resulting from decisions based on incorrect or misused models. In financial institutions, model risk can arise if a model's assumptions are flawed, if the data input is poor, or if the model is applied inappropriately. Managing model risk involves validating models, monitoring their performance, and ensuring that they are used within their intended scope. Effective model risk management helps organizations avoid significant financial losses and comply with regulatory requirements.
What are the most commonly searched types of Model Risk jobs in Florida? The most popular types of Model Risk jobs in Florida are:
What job categories do people searching Model Risk jobs in Florida look for? The top searched job categories for Model Risk jobs in Florida are:
What cities in Florida are hiring for Model Risk jobs? Cities in Florida with the most Model Risk job openings:
Infographic showing various Model Risk job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 2% Temporary, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.
Chief Artifical Intelligence Officer (CAIO)

Chief Artifical Intelligence Officer (CAIO)

City National Bank of Florida

Coral Gables, FL

Full-time

Posted 16 days ago


Job description

The Chief Artificial Intelligence Officer (CAIO) is responsible for defining and executing the Bank’s enterprise artificial intelligence strategy to drive operational efficiency, enhance risk management, and improve client experience.

This role operates as a core member of the leadership team, directly supporting the Chief Operations Officer in transforming the Bank’s operating model through the disciplined adoption of artificial intelligence, advanced analytics, and intelligent automation.

The CAIO is accountable for translating AI capabilities into measurable business outcomes by embedding AI into core workflows, decision-making processes, and customer interactions, while ensuring appropriate governance, control, and regulatory alignment within a highly regulated banking environment.

What You'll Do:

Enterprise AI Strategy and Execution

  • Define and lead the Bank’s AI strategy aligned with business priorities, growth objectives, and operational efficiency goals
  • Translate strategy into a prioritized portfolio of initiatives with clear business cases and measurable ROI
  • Drive enterprise-wide adoption of AI across operations, credit, risk, fraud, compliance, and client-facing functions
  • Establish clear success metrics tied to productivity, cost reduction, revenue enhancement, and risk mitigation

Operating Model Transformation

  • Redesign core business processes to incorporate AI-driven decisioning and automation
  • Lead the development and deployment of AI-enabled workflows and digital agents across the enterprise
  • Identify and eliminate manual, repetitive tasks through automation and intelligent process redesign
  • Partner with business leaders to embed AI into day-to-day operations

AI Platform and Infrastructure

  • Define the Bank’s AI and data architecture strategy in partnership with Technology
  • Oversee the development and deployment of scalable AI platforms, tools, and environments
  • Establish standards for model development, testing, deployment, and monitoring
  • Ensure seamless integration of AI capabilities into existing systems and workflows

Governance, Risk, and Control

  • Establish and maintain an enterprise AI governance framework, including policies, standards, and controls
  • Ensure all AI use cases comply with regulatory expectations and internal risk management standards
  • Partner with Risk, Compliance, and Legal to address model risk, data usage, and decision transparency
  • Implement controls to manage bias, explainability, data quality, and output reliability

Business Use Case Delivery

  • Identify high-impact AI opportunities and lead end-to-end execution from concept through deployment
  • Prioritize initiatives based on financial impact, feasibility, and risk considerations
  • Partner closely with business units to ensure adoption and sustained utilization
  • Track and report realized value from AI initiatives

Data and Decision Intelligence

  • Ensure AI initiatives are supported by high-quality, well-governed data
  • Promote the use of advanced analytics to enhance decision-making across the Bank
  • Partner with data and technology teams to improve access, usability, and reliability of data assets

Talent and Capability Development

  • Build and lead a high-performing AI organization, including data science, engineering, and AI product management
  • Develop enterprise-wide AI literacy to enable adoption across all levels of the organization
  • Attract, develop, and retain specialized talent in AI and advanced analytics
  • Foster a culture of innovation with strong execution discipline

Executive Alignment and Reporting

  • Provide regular updates to the Chief Operating Officer and executive team on AI initiatives, performance, and risks
  • Support executive-level and Board reporting through the COO as required
  • Align AI investments and initiatives with overall enterprise priorities and resource planning

  • 10+ years in technology , data, AI, or analytics leadership roles required. 
  • Deep expertise in artificial intelligence, machine learning, and automation technologies
  • Strong business acumen with ability to link AI initiatives to financial outcomes
  • Experience scaling AI solutions across complex organizations
  • Understanding of AI governance, model risk, and regulatory considerations
  • Executive-level communication and stakeholder management skills
  • Ability to operate at both strategic and execution levels
  • Enterprise level experience including managing and successfully delivering cross functional initiatives.
  • Experience in leading projects and multi-tasking with diverse groups and locations.
  • Demonstrable experience in implementing strategic plans and managing programs.
  • Exceptional and proven leadership capabilities – communication, influence & negotiation, conflict resolution, people management, relationship management (internal/external), and team building.
  • Proven ability to successfully partner with internal clients and vendors to align strategy with deliverables, identify business challenges and develop alternatives to mitigate.
  • Strong service management and service delivery orientation.
  • Excellent written, oral, and interpersonal communication skills.
  • Ability to present ideas in at appropriate levels for different audiences.
  • Proven ability to work within a changing environment and lead the implementation of change.
  • Ability to apply change management principles to initiatives of variable sizes and degrees of complexities.
  • Ability to assess the impact or potential impact of change management initiatives of various sizes and degrees of complexities on business financial and performance.
  • Advanced level of creativity, strategic thinking and problem management skills.
  • Ability to conduct and direct research into information security issues.
  • Self-motivated, self-directed, attentive to detail, and able to multi-task.
  • Ability to effectively prioritize and execute tasks in a high-pressure environment.

  • Bachelor's Degree in computer science, data science, engineering, applied mathematics/statistics, information systems, or a related quantitative field (or equivalent combination of education and experience).
  • Master's Degree preferred. 

Equal Opportunity

City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.

Interview Guidelines

To ensure a fair interview process, the use of AI-enabled devices (e.g., AI glasses or similar technology) is not permitted during interviews.

Accommodations

If you require a reasonable accommodation to apply or participate in the hiring process, please contact our Talent Attraction team at talent.attraction@citynational.com