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

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Model Risk Manager information

See Miami, FL salary details

$49.3K

$106.7K

$162.6K

How much do model risk manager jobs pay per year?

As of Jun 23, 2026, the average yearly pay for model risk manager in Miami, FL is $106,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,100.00 and $123,400.00 per year, depending on experience, location, and employer.

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

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 are popular job titles related to Model Risk Manager jobs in Miami, FL? For Model Risk Manager jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Miami, FL look for? The top searched job categories for Model Risk Manager jobs in Miami, FL are:
What cities near Miami, FL are hiring for Model Risk Manager jobs? Cities near Miami, FL with the most Model Risk Manager job openings:
Model Risk Manager jobs near you
Infographic showing various Model Risk Manager job openings in Miami, FL as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $106,697 per year, or $51.3 per hour.
Director, AI Enablement & Governance

Director, AI Enablement & Governance

Life Extension Foundation Buyers Club Inc

Fort Lauderdale, FL • On-site

$222K - $232K/yr

Full-time

Posted 25 days ago

Job description

The Director of AI Enablement & Governance leads the responsible adoption, scaling, and oversight of artificial intelligence across the organization. This role sits at the intersection of technology, risk, compliance, and business transformation and is tasked with defining and operationalizing AI governance frameworks, enabling business units to deploy AI solutions effectively, and ensuring alignment with regulatory, ethical, and security standards. This leadership position combines deep knowledge of AI/ML with policy development and cross-functional collaboration skills.

Core Duties and Responsibilities:

  • Develop and execute the enterprise AI enablement strategy aligned with business objectives.
  • Partner with business leaders to identify, prioritize, and scale high-impact AI use cases.
  • Establish reusable frameworks, tools, and best practices to accelerate AI adoption.
  • Build and lead internal AI communities of practice to drive knowledge sharing and innovation.
  • Oversee AI solution lifecycle from ideation through deployment and monitoring.
  • Design and implement a comprehensive AI governance framework covering model risk, ethics, privacy, and compliance.
  • Define policies and standards for responsible AI use, including fairness, transparency, and accountability.
  • Establish model validation, monitoring, and audit processes.
  • Ensure compliance with evolving AI regulations (e.g., EU AI Act, U.S. regulatory guidance) and internal policies.
  • Partner with Legal and Security teams to manage AI-related risks and ensure compliance.
  • Collaborate with data teams to ensure high-quality, secure, and compliant data usage.
  • Define standards for model documentation, explainability, and reproducibility.
  • Implement processes for model performance tracking, drift detection, and retraining.
  • Ensure proper governance over third-party AI tools and vendors.
  • Build, mentor, and lead a high-performing AI governance and enablement team.
  • Serve as a trusted advisor to senior leadership on AI opportunities and risks.
  • Drive change management efforts to embed responsible AI practices across the organization.
  • Deliver training and awareness programs on AI governance and ethical use.
  • Evaluate and select AI platforms, tools, and vendors aligned with governance standards.
  • Oversee implementation of AI governance tooling (e.g., model registries, monitoring systems).
  • Ensure integration of governance controls into MLOps and data pipelines.
  • 2 onsite days per week is an essential function of this position
  • Additional duties as needed


Position Requirements:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred).
  • 10+ years of experience in AI/ML, data science, or related domains, with leadership experience.
  • Proven experience developing and implementing AI governance frameworks.
  • Strong understanding of machine learning lifecycle, model risk management, and data governance.
  • Familiarity with AI regulations, ethical frameworks, and industry standards.
  • Experience working cross-functionally with technical and non-technical stakeholders.
  • Experience in regulated industries preferred (e.g., finance, healthcare, insurance).
  • Knowledge of frameworks such as NIST AI Risk Management Framework, ISO/IEC AI standards.
  • Experience with MLOps platforms, model monitoring tools, and AI lifecycle management.
  • Strong communication skills with the ability to influence executive stakeholders.