Wall Street Prep - AI Course Builder – Business & Finance Applications
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Requirements
• 3+ years of experience working with AI tools, machine learning, data science, or AI-enabled workflows. • Strong practical experience using modern AI assistants and enterprise AI tools such as: • ChatGPT • Claude • Gemini • Microsoft Copilot • Microsoft Copilot • Perplexity • Shortcut • Experience applying AI tools to real-world workflows such as research, analysis, automation, coding, or productivity. • Experience building technical content such as: • technical tutorials • course materials • technical blog posts • learning modules or workshops • Experience in finance, consulting, or corporate environments is a plus but not required. • Practical expertise using generative AI tools including: • Experience with AI productivity tools and workflow assistants such as: • Microsoft Copilot • Python programming experience strongly preferred, including libraries such as: • Experience working with AI APIs and frameworks such as: • Working Arrangement • Working Arrangement • This role is project-based or part-time, focused on building course materials for upcoming AI training programs. • project-based or part-time
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: • real-world exercises and labs • Using ChatGPT, Claude, Gemini, and Perplexity for research, analysis, and writing • ChatGPT, Claude, Gemini, and Perplexity • Leveraging Microsoft Copilot, Rogo, and Shortcut to automate workflows and productivity tasks • Microsoft Copilot, Rogo, and Shortcut • 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, and accessible to finance professionals
Benefits
• Highly competitive project-based compensation depending on experience and scope of work. • Help shape how AI is taught to professionals across global finance. • Build practical AI learning content used by professionals at leading financial institutions. • Collaborate with a highly experienced team of finance and training experts. • Contribute to one of the fastest-growing areas of professional education.
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