Associate Model Risk

What you'll do

• Independently validate the performance, accuracy, and reliability of AI models used within the firm.
• Assess model design, explainability, and algorithmic robustness to ensure regulatory compliance.
• Develop and implement specific validation methodologies and benchmark models for various AI applications.
• Conduct thorough testing and analysis of model outputs to identify and document potential risks.
• Collaborate with model developers and business stakeholders to address identified issues and improve performance.
• Provide independent oversight to ensure compliance with Firmwide Policy on Model Control and related standards.
• Evaluate the risk associated with model choice in contexts such as pricing exotic options or calculating capital.

What we're looking for

• 2-5 years of experience in AI/ML model validation, research, quantitative research, or related fields.
• 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 data science libraries like NumPy, Pandas, TensorFlow, and Pytorch.
• Understanding of statistical modeling and machine learning algorithms.
• Excellent analytical, problem-solving, and communication skills.
• Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.