Senior Data Scientist (Internal Audit Model & AI Risk)
HybridVienna, Virginia, United States
Job Summary
Evaluate model and artificial intelligence risk and governance frameworks across the organization through audit engagements and technical reviews. Conduct assessments of complex data science, machine learning, and generative AI capabilities, including their ability to mitigate risk at individual and aggregate levels. Serve as a subject matter expert to Internal Audit staff, senior management, and business partners on end-to-end lifecycle management of model development, implementation, and ongoing monitoring. Manage work assignments of increasing complexity under moderate supervision with latitude for independent judgment. Support the Internal Audit team's transformational journey to become a best-in-class function by integrating data analytics and maximizing technology use.
Required Qualifications
- Applicants must be authorized to work in the United States without the need for current or future sponsorship
- Support Internal Audit's evaluation of model and artificial intelligence (AI) risk and governance frameworks
- Conduct reviews of complex data science and machine learning models across the organization
- Serve as a subject matter expert to Internal Audit staff, senior management and business partners on end-to-end life-cycle management of model development
- Serve as a subject matter expert to Internal Audit staff, senior management, and business partners on end-to-end lifecycle management of AI/model development
- Evaluate relevant ecosystems by assessing governance frameworks, risk management practices, AI/model lifecycle controls
- Assess the effectiveness of oversight activities across the first and second lines of defense
- Assess the complexity, uncertainty, transparency, and operational risks associated with advanced analytical and AI-enabled solutions
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