GenAI Automation Intern – Hybrid NYC

Nasdaq

New York (NY)

Hybrid

USD 11,021,000 - 16,531,000

Full time

4 days ago
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Job summary

Nasdaq’s Internship Program is a 10-week summer experience designed to give students exposure to how global markets and technology converge. You’ll work on meaningful projects with mentors, senior leaders, and a diverse intern community.

In this role, you’ll support the Finance Organization with hands-on automation and GenAI projects, from invoice processing to financial reporting. You’ll gain practical skills and build a network that lasts beyond the program.

Qualifications

  • Pursuing a degree in Finance, Computer Science, Information Systems, Business Administration, Mathematics or related field.
  • Strong data analysis and process-improvement mindset with exposure to automation.
  • Proficiency in Excel; basic programming knowledge in Python or VBA is a plus.

Responsibilities

  • Support Intelligent Automation team with day-to-day tasks and initiatives.
  • Learn to design, develop, and deploy end-to-end automation solutions.
  • Contribute to AI-based solutions that improve decision making and efficiency.
  • Develop components of Generative AI solutions and traditional automations.
  • Collaborate with teammates across functions and regions.
  • Bring ideas to problem-solving and project work.
  • Grow technical and professional skills through training and mentorship.

Skills

Data analysis
Process improvement
Excel
SQL
Python
VBA
Automation concepts

Education

Finance / CS / IS / Business / Math degree (pursuing)

Tools

Python
VBA
SQL

Job description

Nasdaq’s Internship Program is a 10-week summer experience designed to give students exposure to how global markets and technology converge. You’ll work on meaningful projects with mentors, senior leaders, and a diverse intern community.

In this role, you’ll support the Finance Organization with hands-on automation and GenAI projects, from invoice processing to financial reporting. You’ll gain practical skills and build a network that lasts beyond the program.

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