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Wall Street Prep · 3 days ago

AI Instructor – Specialization in Business & Finance Applications

New York, NY

Contract

Hybrid

Mid Level

3+ years exp

Wall Street Prep is a leading provider of professional skills training in financial and valuation modeling. They are seeking an experienced AI Instructor to deliver training on AI tools and concepts tailored to business and finance contexts, while also mentoring students and professionals.

EducationFinanceFinancial ServicesTraining

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

AI tools and platforms such as OpenAI API, Microsoft Copilot, and custom chatbot development

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

Provide personalized mentorship through one-on-one tutoring sessions

Complete WSP's Train-the-Trainer Program, a structured professional development initiative for new instructors

Qualification

AI implementationMachine learningPython programmingData analysisPredictive analyticsAI frameworksTeachingPublic speakingMentoring

Required

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)

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