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🚀Nasdaq Campus Program 2027: Paid Internship Opportunity for Freshers in Bengaluru | ₹50,000 Monthly Stipend | 📅 Application Deadline: October 25, 2026 |

By: Rohit BARAHATE

On: October 24, 2026

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Nasdaq has announced its Campus Program 2027 in Bengaluru, Karnataka, offering students and early-career candidates an opportunity to begin their professional journey with a globally recognised financial technology company. The program is designed for individuals interested in technology, artificial intelligence, data engineering, quality engineering, software development, and product or project management.


🏢 About the Company: Nasdaq

Nasdaq is a global technology company best known for operating stock exchanges and providing financial technology, market infrastructure, data, analytics, and related services. Its technology supports financial markets, trading, regulatory activities, and organisations across the financial services industry.


📋 Job Overview: Nasdaq Campus Program 2027

  • 🏢 Company: Nasdaq
  • 💼 Program: Nasdaq Campus Program – 2027
  • 🆔 Job Requisition ID: R0027122
  • 📍 Location: Bengaluru, Karnataka, India
  • 🎓 Experience: Freshers / eligible final-year students
  • 💰 Monthly Stipend: ₹50,000, as advertised
  • 🕒 Employment Type: Full-time, paid internship
  • 📅 Application Deadline: October 25, 2026
  • 👨‍💻 Work Arrangement: Interns will be based in Bengaluru

🌟 Why Is This Role Good for Freshers?

  • 🚀 Industry exposure: Understand how technology teams contribute to a global financial technology business.
  • 🤖 AI and emerging technologies: Explore opportunities related to artificial intelligence, machine learning, and large language models.
  • 🧪 Quality engineering experience: Learn about software testing, automation, and the importance of dependable applications.
  • 📊 Data-focused opportunities: Apply programming, SQL, analytics, and data-processing knowledge to practical problems.
  • 🧠 Professional development: Strengthen problem-solving, communication, teamwork, and time-management skills.

🎯 Available Internship Roles

  • 💻 Software Development Intern: Application development, programming, debugging, and software engineering fundamentals.
  • 🤖 AI/ML Intern: Machine learning concepts, AI applications, experimentation, and model-related work.
  • 🧪 Quality Engineering Intern: Test design, defect identification, software quality, and automation fundamentals.
  • 📈 Data Science Intern: Data analysis, statistical reasoning, and extracting insights from datasets.
  • 🗄️ Data Engineer Intern: Data pipelines, SQL, data processing, and data platform concepts.
  • 📋 Product Management Intern: Product requirements, prioritisation, collaboration, and user-focused problem-solving.
  • 🗂️ Project Management Intern: Planning, coordination, communication, and delivery tracking.

🛠️ Skills Required

  • 💻 Programming fundamentals: Variables, functions, data structures, debugging, and basic algorithms.
  • 🗃️ SQL and databases: Queries, filtering, joins, aggregation, and understanding relational data.
  • 🧠 Problem-solving: Breaking complex questions into smaller, logical steps.
  • 🤖 AI/ML awareness: Basic understanding of machine learning, generative AI, or LLM concepts where relevant.
  • 🧪 Testing fundamentals: Test cases, defect reporting, regression testing, and automation concepts for Quality Engineering roles.

🧑‍💼 Expected Interview Rounds

Nasdaq has not confirmed the exact interview sequence in the supplied job details. The following is a possible preparation roadmap, not an official selection process:

  • 📝 Round 1: Online Assessment
  • 💻 Round 2: Technical Interview
  • 🧩 Round 3: Role-Based or Problem-Solving Interview
  • 🤝 Round 4: Hiring Manager / HR Discussion

📚 Preparation Tips for Nasdaq Campus Program 2027

  • 🎯 Choose your target domain: Decide whether software development, AI/ML, data, quality engineering, or management best matches your interests.
  • 💻 Practise coding daily: Revise basic data structures, strings, arrays, loops, functions, and problem-solving in your strongest programming language.
  • 🗃️ Strengthen SQL: Practise joins, grouping, subqueries, and common data-manipulation questions.
  • 🤖 Review relevant AI concepts: If targeting AI/ML, understand supervised learning, model evaluation, and basic LLM terminology.
  • 🧪 Prepare testing examples: For Quality Engineering, revise test scenarios, severity versus priority, regression testing, and automation fundamentals.
  • 📂 Build a demonstrable project: Be ready to explain its objective, technology stack, your contribution, challenges, and results.

📝 Resume Tips for Applicants

Keep your resume concise, preferably one page, and tailor it to your preferred internship area. Highlight relevant coursework, technical projects, internships, hackathons, and certifications. List the technologies you can genuinely explain and demonstrate.

For technical projects, mention the problem solved, tools used, your individual contribution, and measurable outcomes where available. Candidates targeting Quality Engineering should highlight test cases, automation, defect analysis, and testing tools. Data-focused applicants should showcase SQL, Python, analytics, or data pipelines. Avoid unsupported claims and generic skill lists.


📩 How to Apply

  • 🏢 Company: Nasdaq
  • 🆔 Requisition ID: R0027122
  • 📍 Location: Bengaluru, Karnataka
  • 📅 Deadline: October 25, 2026, according to the supplied listing

👉 Application Link: Click Here


🌟 Final Thoughts

The Nasdaq Campus Program 2027 is a promising opportunity for eligible final-year students interested in technology, data, AI, software development, or quality engineering. With an advertised monthly stipend of ₹50,000 and several potential internship tracks, it may be worth exploring for candidates who can demonstrate strong fundamentals, curiosity, and a willingness to learn. Review the eligibility criteria carefully and apply promptly if you qualify.


Rohit BARAHATE

Rohit BARAHATE is a Quality Engineering Specialist with 4.6+ years of experience in the IT industry. With a network of over 123K+ LinkedIn connections and actively supports job seekers by sharing referral opportunities and guiding them toward successful careers.

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