Vice President, AI Model Risk Greater New York City, NY Area

The Company is seeking a Vice President of AI Model Risk to independently validate AI models and assess their accuracy, reliability, explainability, design, and robustness. The role includes developing validation methodologies and benchmark models, testing model outputs, and documenting risks and limitations. The successful candidate will work with model developers and business stakeholders to address findings and strengthen model performance. They will also contribute to independent oversight of model risk and support compliance with applicable policies and regulatory requirements. Candidates should have a Ph.D. in computer science, mathematics, physics, engineering, or a closely related quantitative field, along with an understanding of statistical modeling and machine learning algorithms. At least five years of experience in a quantitative role as a model developer or data researcher is required; experience with AI models is preferred. Strong Python programming skills, including familiarity with relevant data science libraries, are expected. The role also calls for excellent analytical, problem-solving, and communication skills, as well as curiosity, ownership, and the ability to collaborate effectively.

Hiring Company

Goldman Sachs