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Senior Model Risk Management Jobs in Virginia (NOW HIRING)

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Senior Model Risk Management information

What is the difference between Senior Model Risk Management vs Model Validation Analyst?

AspectSenior Model Risk ManagementModel Validation Analyst
CredentialsAdvanced degrees in finance, statistics, or related fields; certifications like FRM or CFASimilar credentials; often holds CFA, FRM, or related certifications
Work EnvironmentStrategic oversight, risk assessment, policy development within financial institutionsHands-on model testing, validation, and documentation in quantitative teams
Industry UsageUsed across banking, insurance, asset management for risk governancePrimarily in banking and financial services for model validation roles

While both roles require quantitative expertise and relevant certifications, Senior Model Risk Management focuses on overseeing and managing model risks at a strategic level, whereas Model Validation Analysts concentrate on testing and validating models to ensure accuracy and compliance.

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Senior Model Risk Management jobs near you

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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