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Model Risk Manager Jobs in Doral, FL (NOW HIRING)

Moss

Risk Analyst

Fort Lauderdale, FL

With regional offices across the United States, Moss focuses on construction management, solar EPC ... Language Models (LLMs), Generative AI, and competitor strategies to identify high-impact ...

Moss

Risk Analyst

Fort Lauderdale, FL · On-site

With regional offices across the United States, Moss focuses on construction management, solar EPC ... Language Models (LLMs), Generative AI, and competitor strategies to identify high-impact ...

Itau

Head of Financial Risk

Miami, FL · On-site

The Head of Financial Risk is responsible for the financial risk management framework across Itaú ... Develop and maintain methodologies, models, limits, controls, dashboards, KPIs, risk reports ...

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Showing results 21-40

All JobsModel Risk JobsModel Risk Manager JobsModel Risk Manager Jobs in Doral, FL

Model Risk Manager information

See Doral, FL salary details

$47.6K

$103.2K

$157.3K

How much do model risk manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for model risk manager in Doral, FL is $103,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $119,300.00 per year, depending on experience, location, and employer.

What are common challenges a model risk manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What skills and qualifications are needed to be a model risk manager?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What does a model risk manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.
What cities near Doral, FL are hiring for Model Risk Manager jobs? Cities near Doral, FL with the most Model Risk Manager job openings:
Model Risk Manager jobs near you
Infographic showing various Model Risk Manager job openings in Doral, FL as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $103,209 per year, or $49.6 per hour.

Chief Artifical Intelligence Officer (CAIO)

City National Bank of Florida

Coral Gables, FL

Full-time

Re-posted 19 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 wearables, AT tools, AI applications, or other external assistance is strickly prohibited. 

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

Apply