Model Validation Lead

Key Responsibilities

• Lead end-to-end model validation activities for ML, AI, and advanced analytical models
• Define and oversee validation frameworks covering conceptual soundness, data integrity, methodology, performance, bias, and stability
• Review and challenge model assumptions, feature engineering, training approaches, and performance metrics
• Audit and evaluate model robustness, sensitivity, and limitations across operational scenarios
• Evaluate model explainability, transparency, and interpretability for technical and non-technical stakeholders
• Partner with MLOps and engineering teams to ensure models are production-ready and compliant with governance requirements
• Establish validation documentation standards, review artifacts, and approval processes
• Serve as a technical authority within analytics and AI engagements
• Advise clients on model risk management, AI governance, and responsible AI practices
• Mentor junior staff and serve as a technical authority within analytics and AI engagements

Qualifications

• An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance
• Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related quantitative field
• FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics
• Experience validating ML, statistical, and predictive models in regulated or high-risk environments
• Experience in Python and analytics tooling used to assess, test, and challenge models
• Experience working with large-scale datasets and complex analytical pipelines
• Experience leading small teams or workstreams and interfacing directly with senior stakeholders