AI Instructor – Specialization in Business & Finance Applications

Wall Street Prep•New York, NY

28d

About The Position

Wall Street Prep is seeking an experienced and enthusiastic AI for Finance Instructor with a strong background in applying artificial intelligence, machine learning, and automation in business and finance settings. As an AI Instructor, you will join our elite team of instructors delivering cutting-edge training to professionals and students eager to master AI tools for real-world decision-making and business transformation. You will serve as a lead facilitator for immersive training seminars on foundational AI concepts, predictive analytics, generative AI, and the use of AI tools like LLMs, APIs, and Python-based automation—tailored to the business and finance context. This includes practical instruction on leading AI assistants and enterprise AI platforms such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Rogo, and Shortcut, with a focus on how finance professionals can integrate these tools into research, analysis, and workflow automation. This is a unique opportunity to share your expertise, refine your teaching and public speaking skills, and help shape how the financial services industry leverages AI.

Requirements

3+ years of experience in data science, machine learning, or AI implementation, preferably in finance, consulting, or a technology-forward corporate environment.
Demonstrated experience building or applying AI solutions in business/financial contexts (e.g., forecasting, automation, investment research, fraud detection).
Bachelor's degree in a technical or quantitative field required (e.g., Computer Science, Data Science, Finance, Engineering); Master’s or PhD a plus.
Practical expertise using leading generative AI tools (ChatGPT, Claude, Gemini, Perplexity) and AI workflow tools (Copilot, Rogo, Shortcut) for research, coding, productivity, and business analysis.
Strong Python programming skills and experience with data science libraries (Pandas, scikit-learn, Matplotlib).
Knowledge of AI frameworks (OpenAI API, Hugging Face, LangChain, etc.) and enterprise applications (Copilot, chatbots, etc.).
Clear understanding of both technical and business-side AI use cases.
A passion for teaching, mentoring, and empowering learners with real-world tools.
Willingness to provide approximately 40 training days or more per year, including enhanced availability during the summer months.
Willingness to develop curriculum materials related to AI for use in both live and online training programs.
Flexibility to travel domestically and internationally.

Nice To Haves

Experience teaching or mentoring (corporate training, workshops, or academic instruction) is highly desirable.
Hands-on experience using modern AI assistants and enterprise AI tools (e.g., ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Rogo, Shortcut) within professional workflows is strongly preferred.
The ability to conduct week-long or multi-week seminars is highly desirable.

Responsibilities

Deliver live in-person and virtual training seminars to corporate, undergraduate, and MBA clients, including: Financial institutions, consulting firms, technology teams, and corporate finance professionals.
Top-tier MBA programs and executive education programs.
Lead instruction in AI and machine learning concepts with a focus on: AI and generative AI fundamentals, including LLMs, embeddings, and transformers.
Applied Python for finance, data analysis and visualization techniques, and automation workflows.
Predictive analytics (regression, decision trees, random forests).
Real-world use cases: fraud detection, churn prediction, stock return modeling, pricing optimization, and more.
Demonstrating practical workflows using modern AI assistants and research tools such as ChatGPT, Microsoft Copilot, Claude, Gemini, Perplexity, Rogo, and Shortcut for tasks like investment research, financial analysis, workflow automation, presentation drafting, and knowledge synthesis.
Collaborate on curriculum development, including: Updating and refining training content based on evolving AI applications in finance and business.
Creating hands-on case studies that illustrate AI-driven business transformation.
Contributing to elective modules in advanced AI integration, optimization, and automation.
Designing hands-on exercises that teach participants how to use tools like ChatGPT, Claude, Gemini, and Copilot for tasks such as financial analysis, data interpretation, coding assistance, research workflows, and productivity automation.
Provide personalized mentorship through one-on-one tutoring sessions.
Complete WSP’s Train-the-Trainer Program, a structured professional development initiative for new instructors.

Benefits

All travel and accommodation expenses covered by WSP.
Paid professional development through WSP’s Train-the-Trainer Program.
Opportunities to deepen your expertise in AI, analytics, and financial modeling.
Expand your professional network across global finance and corporate sectors.
Develop exceptional public speaking and facilitation skills.
Join a collaborative and entrepreneurial-minded team.

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