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Model Risk Manager Jobs in McLean, VA (NOW HIRING)

Deloitte

Financial Risk Manager

Mclean, VA · On-site

Financial Services Manager - Financial Risk Our Deloitte Regulatory, Risk & Forensic team helps ... Knowledge of financial services business models, products, and services * Experience in banking ...

CGI Inc.

Risk Manager, Senior

Arlington, VA · On-site

The Risk Manager identifies, assesses, and mitigates potential threats to an organization's assets ... This position is located in USA VA Arlington, however, a hybrid working model is acceptable. Your ...

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Model Risk Manager information

See McLean, VA salary details

$52.1K

$112.8K

$171.8K

How much do model risk manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for model risk manager in McLean, VA is $112,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $130,400.00 per year, depending on experience, location, and employer.

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 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 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 are popular job titles related to Model Risk Manager jobs in McLean, VA?

For Model Risk Manager jobs in McLean, VA, the most frequently searched job titles are:

What job categories do people searching Model Risk Manager jobs in McLean, VA look for?

The top searched job categories for Model Risk Manager jobs in McLean, VA are:

What cities near McLean, VA are hiring for Model Risk Manager jobs?

Cities near McLean, VA with the most Model Risk Manager job openings:

Model Risk Manager jobs near you
Infographic showing various Model Risk Manager job openings in McLean, VA as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $114,440 per year, or $55 per hour.

Senior Director - Data, Models, AI Risk Management

Mclean, VA • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 3 days ago

New

Job description

  • Provide departmental oversight and serve as a subject matter expert on the evolution of AI risk across diverse control domains
  • Identify and implement continual program enhancements based on industry standards and best practices for data and AI risk management
  • Partner with Retail Bank Technology and Business teams to assess compliance with divisional and enterprise data and model management requirements
  • Build a strategic point of view on the evolution of data risk with the Managing Data Steward team
  • Build and maintain risk oversight processes for data quality, data lineage and traceability, data transformation, and data usage in LLM and AI
  • Apply understanding of control environments to proactively mitigate risks and influence stakeholders on risk mitigation and remediation strategies
  • Engage in AI usage across the line of business through design, development, testing, deployment, and post-deployment monitoring
  • Deliver decision-oriented reports to stakeholders and senior management on data and AI risk, including key issues and proposed mitigations
  • Build a high-performing Data and AI risk team by hiring and developing talent, fostering continuous learning, and establishing clear risk ownership
  • Report to the Head of Tech, Cyber, and Data Risk within the Retail Bank
  • Partner across Enterprise teams, Second Line of Defense, and Technology teams to develop and support risk identification and mitigation solutions
Requirements
  • Bachelor’s Degree or military experience
  • At least 10 years of experience in Technology Risk, Data Risk, or Model Risk
  • At least 8 years of People Management experience
  • Preferred: 10+ years of People Management experience
  • Experience solving complex programs with a strategic point of view and a background in flawless execution
  • Excellent verbal presentation and written communication skills
  • Excellent problem-solving, analytical, and critical-thinking skills
  • Consulting experience with a Big 4 firm
  • Capital One will not sponsor a new applicant for employment authorization for this position
Core Competencies

Demonstrates expertise in AI and Data Risk Management, with a strong focus on compliance, risk oversight processes, and team leadership. Proven ability to develop strategic risk mitigation solutions and deliver impactful reports to stakeholders.

Highest-signal resume keywords
  • AI Risk Management
  • Data Risk Oversight
  • People Management
  • Risk Mitigation Strategies
  • Consulting Experience
ATS Optimization Keywords Hard Skills
  • Technology Risk
  • Data Quality Management
  • Data Lineage
  • Data Transformation
  • Data Usage in LLM
  • Analytical Skills
  • Critical Thinking
  • Problem Solving
  • Strategic Planning
  • Program Execution
Soft Skills
  • Verbal Communication
  • Written Communication
  • Stakeholder Engagement
  • Team Development
  • Continuous Learning
Industry Keywords
  • Big 4 Consulting
  • Risk Management
  • Control Environments
  • Data Stewardship
  • Enterprise Compliance
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