AI Model Risk Associate - Validate AI Models

Goldman Sachs; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Goldman Sachs is seeking an AI Model Risk Associate in Dallas to validate AI models, ensure accuracy, explainability, and regulatory compliance within Model Risk Management. You will collaborate with AI researchers, developers, and stakeholders to design validation plans and benchmarking models.

The role requires 2–5 years in AI/ML model validation or related fields, and a strong foundation in Python and data science libraries.

Qualifications

• 2–5 years of AI/ML model validation or research experience.
• Bachelor's, Master's or PhD in Computer Science, Mathematics, Physics, Engineering or related quantitative field.
• Programming in Python with libraries such as NumPy, Pandas, TensorFlow, PyTorch.
• Understanding of statistical modelling and machine learning algorithms.
• Excellent analytical, problem-solving and communication skills.
• Demonstrated curiosity and willingness to work in a collaborative environment.

Responsibilities

• Independently validate the performance, accuracy, and reliability of AI models, focusing on accuracy, explainability, design and robustness.
• Develop and implement validation methodologies and benchmark models for 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 performance.

Tools

Python

NumPy

Pandas

TensorFlow

PyTorch

Job description

Goldman Sachs is seeking an AI Model Risk Associate in Dallas to validate AI models, ensure accuracy, explainability, and regulatory compliance within Model Risk Management. You will collaborate with AI researchers, developers, and stakeholders to design validation plans and benchmarking models.

The role requires 2–5 years in AI/ML model validation or related fields, and a strong foundation in Python and data science libraries.