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Python Instructor About Wall Street Prep Founded in 2004 by investment bankers, Wall Street Prep (WSP) is a leading provider of professional skills training in financial modeling, valuation, data analytics, and business technology. Our mission is to bridge the gap between academia and the real world by equipping finance professionals and students with practical, hands-on technical skills. We partner with top-tier investment banks, private equity firms, asset managers, consulting firms, Fortune 500 companies, and leading undergraduate and MBA programs. Our training is delivered through engaging in-person classroom sessions and our industry-leading online learning platform, all designed and taught by experienced industry professionals. Position Overview Wall Street Prep is seeking an experienced and engaging Python Instructor with a passion for teaching programming, data analysis, and automation to finance and business professionals. As a Python Instructor, you will join our elite team of instructors delivering immersive, hands-on training seminars focused on Python programming, data analysis, visualization, and automation. Courses are designed for finance professionals, analysts, consultants, and MBA students looking to develop practical coding skills they can immediately apply in the workplace. You will teach participants how to leverage Python and industry-standard libraries—including Pandas, NumPy, Matplotlib, and Seaborn—to clean data, automate repetitive tasks, perform financial analysis, and create meaningful visualizations. Training emphasizes practical business applications over theoretical computer science. This is a unique opportunity to share your technical expertise, develop curriculum, refine your public speaking skills, and help professionals become more data-driven in today's increasingly technology-enabled workplace. Key Responsibilities Deliver live instructor-led training seminars for: Investment banks and financial institutions Private equity and asset management firms Corporate finance teams Consulting firms Fortune 500 companies Undergraduate, MBA, and Executive Education programs Lead instruction in topics including: Python Fundamentals Python environment setup (Jupyter Notebooks) Coding best practices Variables, data types, and mathematical operations Logical operators and conditional statements Loops and iteration Functions and modular programming Built-in Python functionality Arrays and indexing Data Analysis with Python NumPy fundamentals Pandas Series and DataFrames Reading and importing data Data cleaning and preparation Sorting and filtering datasets Missing data management Group By operations Merging, joining, and concatenating DataFrames Data manipulation and transformation Financial data analysis using real-world datasets Data Visualization Creating effective charts and graphs Line, bar, scatter, and pie charts Histograms and box plots Heatmaps Pair plots Distribution plots Bubble charts Correlation analysis Multi-plot dashboards Data storytelling through visualization Best practices for presenting analytical insights Applied Business & Finance Projects Guide participants through hands-on projects such as: Financial data cleaning and analysis Market data exploration Portfolio and index analysis Time series analysis Sales and operational reporting KPI dashboards Workflow automation Financial modeling support Research and reporting automation using Python Curriculum Development Collaborate with WSP's Learning Team to: Develop and continuously improve Python training materials Create engaging hands-on exercises and case studies Design projects that simulate real business and financial scenarios Expand curriculum covering Python applications in finance, investment analysis, and business analytics Update course materials as Python l