Risk, AI Model Validation, Associate, Birmingham

Responsibilities

Independently validate the performance, accuracy, and reliability of AI models used within Goldman Sachs, focusing on aspects such as accuracy, explainability, model design, and algorithmic robustness.
Develop and implement validation methodologies and benchmark models tailored to the specific characteristics of AI models.
Conduct thorough testing and analysis of model outputs, identifying and documenting potential risks and limitations.
Collaborate with model developers and business stakeholders to address identified issues and improve model performance.
Preferred Qualifications

A Bachelor, Master or Ph.D. degree in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field.
Programming expertise in Python, including experience with relevant data science libraries (e.g., NumPy, Pandas, TensorFlow, Pytorch).
Understanding of statistical modelling and machine learning algorithms
Excellent analytical, problem-solving, and communication skills.
Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.
ABOUT GOLDMAN SACHS

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