About The Position

Jain Global is an innovative multi-strategy investment firm founded in July 2024 by Bobby Jain, with more than 400 employees across New York, Houston, London, Singapore, and Hong Kong. The firm brings together strategy-specific business builders and talent across asset classes and investment styles. This graduate-level internship sits at the intersection of AI, data, and investment performance. Jain Global’s Vendor Management team helps investment professionals access alpha-generating data quickly, accurately, and efficiently. The intern will help design and implement AI-enabled automation to streamline data sourcing, procurement, and vendor management. This is a business-process-first role rather than a deep coding position, focused on improving how work gets done across data and vendor operations. The work is intended to free up senior resources, reduce costs, and support faster data decisions that contribute to investment decision-making. The internship offers mentorship, ownership of meaningful projects, exposure to a multi-strategy investment model and systematic trading, and opportunities to collaborate with teams across the firm’s global offices. Successful completion may lead to full-time opportunities.

Requirements

  • Be a current graduate student in an MBA, MS, MFE, Analytics, Information Systems, Data Science, or similar program.
  • Strong process and systems thinking, with an interest in improving how work gets done.
  • Demonstrated interest in applied AI, especially automation, LLMs, or intelligent workflows.
  • Comfort working with data conceptually, including usage, costs, and quality, even without being a heavy coder.
  • Clear communication skills and an interest in working across business and technical teams.
  • Ability to collaborate in a dynamic, high-performance environment.

Nice To Haves

  • Exposure to SQL, Python, low-code tools, procurement, or financial services.

Responsibilities

  • Map and help redesign end-to-end workflows across sourcing, procurement, and data management functions.
  • Help reduce manual effort, cycle time, and complexity across critical operations.
  • Help automate invoice processing, validation, and anomaly detection.
  • Analyze vendor usage and cost data to identify optimization opportunities.
  • Build LLM-powered workflows to read contracts, emails, and vendor documents and automatically extract key terms.

Benefits

  • Mentorship and the opportunity to work directly with senior investors and researchers in quantitative trading.
  • Ownership of meaningful projects and the opportunity to drive innovation in a collaborative, entrepreneurial setting.
  • Exposure to a multi-strategy investment model and the inner workings of systematic trading.
  • The opportunity to develop solutions that influence real investment decisions across asset classes.
  • Collaboration with teams across New York, Houston, London, Singapore, and Hong Kong.
  • Potential for full-time opportunities upon successful completion of the internship.
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