Risk, AI Model Validation, Vice President, New York

In this role, you will validate Goldman Sachs' AI models to ensure accuracy, reliability, and regulatory compliance. You will collaborate with AI researchers, developers, and stakeholders to assess methodologies and strengthen validation plans. You will design benchmarking models and perform thorough analyses of outputs to identify risks and limitations. This position sits at the intersection of AI and risk management, offering exposure to diverse AI applications within a leading global firm. You will help advance the firm's model risk framework and governance with rigorous validation and oversight.

• Independently validate the performance, accuracy, and reliability of AI models with a focus on accuracy, explainability, design, and algorithmic robustness
• Develop and implement validation methodologies and benchmark models tailored to AI models
• Conduct thorough testing and analysis of model outputs, documenting risks and limitations
• Collaborate with model developers and business stakeholders to address issues and improve model performance

• Bachelor/Master/PhD in Computer Science, Mathematics, Physics, Engineering, or related quantitative field (Bachelor as minimum)
• Programming in Python with data science libraries (NumPy, Pandas, TensorFlow, PyTorch)
• Experience with statistical modeling, machine learning algorithms, or natural language processing

• Analytical
• Problem-solving
• Communication
• Python
• NumPy
• Pandas