New

Python Instructor

New York

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 libraries and best practices evolve

Student Support

  • Provide personalized coaching and mentorship during training sessions
  • Support participants through one-on-one tutoring engagements
  • Deliver actionable feedback on coding exercises and projects
  • Complete WSP's Train-the-Trainer Program, our structured instructor development initiative

What We Are Looking For

Experience

  • 3+ years of professional experience using Python in finance, data analytics, business intelligence, consulting, technology, or a related field
  • Experience working with real-world datasets and analytical workflows
  • Demonstrated ability to automate processes and solve business problems using Python
  • Experience teaching, mentoring, corporate training, or university instruction is highly desirable

Technical Skills

Strong proficiency with:

  • Python
  • Jupyter Notebooks
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn

Experience with topics such as:

  • Data cleaning and transformation
  • Exploratory data analysis
  • Statistical analysis
  • Financial datasets
  • Data visualization
  • Business reporting
  • Automation and scripting

Experience with additional libraries such as scikit-learn, Plotly, or SQL is a plus.

Education

Bachelor's degree in one of the following (or a related field):

  • Computer Science
  • Data Science
  • Finance
  • Mathematics
  • Statistics
  • Engineering
  • Economics

Master's degree is a plus.

Skills & Passion

We're looking for someone who:

  • Has excellent Python programming skills
  • Can explain technical concepts in a simple, engaging manner
  • Enjoys mentoring and helping others learn
  • Creates an interactive classroom environment
  • Connects coding concepts to practical business and finance applications
  • Demonstrates outstanding communication and presentation skills
  • Is passionate about lifelong learning and staying current with emerging technologies

Availability

  • Willingness to provide approximately 10 training days or more per year, with enhanced availability during the summer months
  • Willingness to develop curriculum materials for both live and online training programs
  • Availability to teach week-long or multi-week instructor-led seminars
  • Flexibility to travel domestically and internationally

Compensation & Benefits

Compensation

Highly competitive daily instructor rate.

Benefits

  • All travel and accommodation expenses covered by WSP
  • Paid professional development through WSP's Train-the-Trainer Program
  • Opportunities to deepen expertise in Python, data analytics, and financial technology
  • Work with leading global financial institutions and Fortune 500 companies
  • Expand your professional network across finance, consulting, and technology
  • Develop exceptional public speaking, facilitation, and instructional design skills
  • Join a collaborative, entrepreneurial, and industry-leading instructor community

Equal Opportunity Employer

Wall Street Prep is committed to fostering an inclusive and equitable workplace. We encourage applications from individuals of all backgrounds and are proud to be an equal opportunity employer. We celebrate diversity and strive to create a work environment where everyone feels empowered to be their authentic selves.

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