AI Course Builder – Business & Finance Applications

About Wall Street Prep

Founded in 2004 by investment bankers, Wall Street Prep (WSP) 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.

We partner with top-tier investment banks, private equity and investment management firms, Fortune 500 companies, and elite undergraduate and MBA programs. Our training is delivered through engaging in-person classroom sessions and via our industry-leading online learning platform, all designed by experienced finance professionals.

As artificial intelligence rapidly transforms financial services, WSP is expanding its AI curriculum to help finance professionals integrate modern AI tools directly into their workflows.

Position Overview

Wall Street Prep is seeking AI Course Builders with strong practical experience using modern AI tools and automation workflows to help develop short, practical AI courses for finance professionals.

In this role, you will focus on designing hands-on AI learning content rather than delivering live instruction.

You will work with WSP’s learning team to develop high-impact modules that teach finance professionals how to apply AI tools to real business tasks, such as research, financial analysis, workflow automation, and productivity.

This includes building course content centered around leading AI assistants and enterprise AI platforms such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Rogo, and Shortcut, along with Python-based workflows and API integrations.

Your work will directly shape how professionals in investment banking, private equity, asset management, consulting, and corporate finance adopt AI in their day-to-day work.

Key Responsibilities

AI Course Development

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
  
  
• AI-assisted financial analysis and modeling
  
  
• Workflow automation using AI tools
  
  
• AI productivity tools for analysts and professionals

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
  
  
• Creating simple Python-based automation scripts
  
  
• Demonstrating AI-assisted coding and data analysis

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
  
  
• Competitive analysis
  
  
• Document review and synthesis
  
  
• Workflow automation and productivity tools

Collaboration with the Learning Team

Work with WSP’s instructors and learning designers to:

• Translate technical AI concepts into practical business workflows
  
  
• Develop structured course modules and exercises
  
  
• Update content as AI tools rapidly evolve
  
  
• Ensure courses are practical, relevant, a