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Key Responsibilities:

  • Design and build practical learning modules covering topics such as: Foundations of generative AI and large language models
  • Prompt engineering for business workflows
  • AI-assisted research and knowledge synthesis

Hands-On Exercise Design:

  • Develop real-world exercises and labs that teach professionals how to use AI tools in practice, including: Using ChatGPT, Claude, Gemini, and Perplexity for research, analysis, and writing
  • Leveraging Microsoft Copilot, Rogo, and Shortcut to automate workflows and productivity tasks
  • Building prompt workflows for financial analysis and research

Practical Use Case Development:

  • Create applied case studies that demonstrate AI in real-world business and finance contexts, such as: Investment research and summarization
  • Financial data analysis and visualization
  • Workflow automation and productivity tools

Wall Street Prep

Wall Street Prep (WSP), founded in 2004 by investment bankers, is a leading provider of professional skills training in financial and valuation modeling. Our mission is to bridge the gap between academia and the real world by equipping finance professionals and students with practical, hands-on skills.

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