Morgan Stanley's Model Risk Management team is seeking a professional to review Generative AI (GenAI) use cases developed by various business units to ensure risk mitigation and adherence to regulatory standards.
Requirements
- At least 1-3 years of working experience in GenAI (LLMs and their applications), Machine Learning, Artificial Intelligence, or Natural Language Processing in either model development or model validation.
- Experience with programming in a high-level language such as Python is a plus.
Responsibilities
- Conduct review for GenAI use cases across different functional areas and challenge aspects such as inputs, outputs, evaluations, usage, prompts, testing design and performances, and ongoing monitoring plan
- Stay up to date on key developments in the rapidly emerging area of GenAI, including foundation models, evaluation frameworks and emerging governance
- Contribute to provide input to discussions with senior management and regulators
Other
- MSc in STEM or Finance or equivalent.
- Cultivate and manage positive relationships with GenAI use case developers, Firmwide AI, Non-Financial Risk and other control functions
- Genuine and broad interest in financial markets; internal drive to effectively challenge and improve models with a quantitative and practical mindset
- Strong interpersonal and communication skills
