AI Instructor, Point72 Academy

A Career with Point72's Investment Professional Development Team

Our Investment Professional Development (IPD) team is dedicated to the growth and development of our investment analysts. The team focuses on developing investment professional skills with the goal of driving superior alpha generation and enhancing team investment processes by analyzing, consolidating, and sharing best practices, training the investment team population, and preparing analyses and data with partners across the firm.

What you'll do

• Teach Point72 Academy associates how to use artificial intelligence (AI) effectively and responsibly throughout the fundamental investment research process
• Build and maintain approved AI tools and workflows that support hands-on training, research practice, and analyst development
• Create practical lectures, demonstrations, assignments, and stock-based case studies that translate AI concepts into research applications
• Develop reusable prompts, templates, Python scripts, document search tools, and workflow automations for associates to apply in their work
• Lead product development from concept to launch, including shared data and analytics workflows that associates can deploy and maintain
• Coach associates and help resolve technical and research workflow challenges
• Troubleshoot issues involving APIs, prompts, data preparation, workflow execution, and connections between models and enterprise tools
• Stay current on emerging AI technologies approved for use across our firm and incorporate relevant capabilities into the Point72 Academy curriculum
• Partner with Compliance, Information Security and other internal colleagues on approved data sources, system permissibility, analytics, and related AI training initiatives

What's required

• Two or more years of experience in applied AI, data science, technical training, or a related field
• Bachelor’s degree in computer science, engineering, data science, statistics, or a related discipline
• Interest in financial markets and ability to learn about fundamental investment research processes
• Strong programming skills in Python and SQL, with experience using data-processing technologies, such as Spark
• Experience using AI-assisted development tools such as Claude Code or Codex

Practical experience building and maintaining large language model (LLM) applications or agentic workflows that connect models with enterprise data and tools through APIs or Model Context Protocol (MCP)

• Experience with web scraping, APIs, or other forms of programmatic data collection and ingestion
• Strong communication, organization, and problem-solving skills
• Experience teaching, training, mentoring, or explaining technical concepts to non-technical or early-career professional audiences
• Commitment to the highest ethical standards
• We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully-paid health care benefits
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $250,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.