Risk-Dallas-Associate-Model Risk

Goldman Sachs • Dallas, TX

23h

About The Position

Goldman Sachs is seeking a highly motivated AI Model Risk Associate to join its Model Risk Management team in Dallas. The role validates the firm's AI models to assess their accuracy, reliability, and compliance with regulatory requirements. The associate will gain exposure to AI applications across a global financial institution and contribute to the firm's risk management framework. The role works closely with AI researchers, AI model developers, and other stakeholders to understand model methodologies, assess model risks, and implement validation plans and benchmarking models.

Model Risk Management provides independent oversight of model risk across the firm and ensures compliance with firmwide model-control policies and related standards. Its scope includes models used for derivatives valuation, risk management, liquidity, and capital computations. The group reviews models for validity, theoretical consistency, and implementation accuracy, and assesses risks associated with model choice.

Requirements

• 2–5 years of experience in AI/ML model validation or research, including modern AI techniques, machine learning research, quantitative research, or related fields.
• Bachelor's, master's, or Ph.D. degree in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field.
• Programming expertise in Python, including experience with data science libraries such as NumPy, Pandas, TensorFlow, or PyTorch.
• Understanding of statistical modeling and machine learning algorithms.
• Excellent analytical, problem-solving, and communication skills.
• Demonstrated curiosity, ownership, and willingness to work collaboratively.

Responsibilities

• Independently validate the performance, accuracy, and reliability of the firm's AI models, including their accuracy, explainability, design, and algorithmic robustness.
• Develop and implement validation methodologies and benchmark models suited to the characteristics of AI models.
• Test and analyze model outputs, identifying and documenting potential risks and limitations.
• Collaborate with model developers and business stakeholders to address identified issues and improve model performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level