AI Model Risk VP — Validate & Govern AI Models

Goldman Sachs Group; New York (NY); On-site; USD 250,000 - 350,000; Full time

Job summary

Goldman Sachs is seeking a highly motivated AI Model Risk Vice President to join Model Risk Management in New York. You will validate AI models across a spectrum of applications, ensuring accuracy, explainability, and regulatory compliance while coordinating with AI researchers and developers.

The role emphasizes developing rigorous validation plans, benchmarking models, and communicating findings to stakeholders to strengthen the firm’s risk management framework.

Qualifications

• PhD in a quantitative field relevant to AI model risk.
• Strong background in statistical modelling and machine learning algorithms.
• 5+ years in a quantitative role as a model developer or data researcher.
• Preferable experience with AI models.
• Proficient Python programming with data science libraries.

Responsibilities

• Independently validate the performance, accuracy, and reliability of AI models used within Goldman Sachs, focusing on accuracy, explainability, design robustness.
• Develop validation methodologies and benchmark models tailored to AI models' characteristics.
• 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.

Skills

Python programming

Statistical modelling

Machine learning

Analytical skills

Communication skills

AI model experience

Education

PhD in Computer Science/Mathematics/Physics/Engineering

Tools

NumPy

Pandas

TensorFlow

PyTorch

Job description

Goldman Sachs is seeking a highly motivated AI Model Risk Vice President to join Model Risk Management in New York. You will validate AI models across a spectrum of applications, ensuring accuracy, explainability, and regulatory compliance while coordinating with AI researchers and developers.

The role emphasizes developing rigorous validation plans, benchmarking models, and communicating findings to stakeholders to strengthen the firm’s risk management framework.