
Risk, AI Model Validation, Associate, Birmingham
- Birmingham
- Permanent
- Full-time
- 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.
- 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.