About The Position

Goldman Sachs is seeking a highly motivated AI Model Risk Vice President to join its Model Risk Management (MRM) team in New York. The role validates the firm's AI models to help ensure their accuracy, reliability, and compliance with regulatory requirements. It offers exposure to a range of AI applications at a global financial institution and contributes to the firm's risk management framework. The position works closely with AI researchers, AI model developers, and other stakeholders to understand model methodologies, assess risks, and implement validation plans and benchmarking models. MRM is a multidisciplinary group responsible for independent oversight of model risk, including effective challenge of model development, implementation, and usage. Its mandate covers models used across the firm's businesses, including derivatives valuation, risk management, liquidity, and capital computations.

Requirements

  • Understanding of statistical modelling and machine learning algorithms.
  • At least 5 years of work experience in a quantitative field as a model developer or data researcher.
  • Programming expertise in Python, including experience with relevant data science libraries such as NumPy, Pandas, TensorFlow, or PyTorch.
  • Excellent analytical, problem-solving, and communication skills.
  • Curiosity, ownership, and willingness to work in a collaborative environment.

Nice To Haves

  • Ph.D. in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field.
  • Some experience with AI models.

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 tailored to 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.

Benefits

  • Training and development opportunities
  • Firmwide networks
  • Benefits
  • Wellness offerings
  • Personal finance offerings
  • Mindfulness programs
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