Nasdaq's engineering hiring in India (Bangalore-based Technology Intern / SDE Intern pipeline) runs an early-career loop that begins with a HackerEarth online challenge (coding plus analytical MCQs across multiple languages), moves to a recruiter-led get-to-know call that walks through the CV, and ends with technical and behavioral interviews focused on data structures, algorithms, SQL and Linux fundamentals. First-hand accounts outside this India campus / internship channel are essentially absent from the sources allowed by this spec: Wall Street Oasis's Nasdaq company page shows zero interview reviews, Reddit's r/quant / r/FinancialCareers / r/cscareerquestions carry Nasdaq-the-index chatter but no candidate loop writeups, and Hacker News' Algolia has none. So the corpus captured here is skewed toward India software-engineering interns.
These 4 writeups cover software engineering, quantitative, operations and other roles, India intern-heavy (Bangalore). All of them were posted under a pseudonym (Reddit, GeeksforGeeks or forum handles), so we could not verify the authors’ identities.
Typical rounds
2.82-3 range
Outcomes shared
0/2offer / not
Most common round
Online assessment
Sources span
2023 - 2024
Most frequently reported · Data structures & algorithms(4), STAR stories(4), Behavioral(3), Past projects(3), Resume deep-dive(3)
What Nasdaq is hiring for now
180 open roles in our index · advertised pay floors run $90k-$139k (median $106k, from 41 postings that state pay).
A timed HackerEarth test with two medium coding problems (graphs and backtracking flavor) plus ten analytical MCQs on aptitude and logical reasoning. Sections are strictly timed so unused MCQ time cannot be spent on the coding section.
Covered · Data structures & algorithms, Graphs, Aptitude, Puzzles
2
Recruiter Zoom discussionHiring manager
After clearing the OA, the candidate submitted a skills/CV form and had a ~40 minute Zoom call with a recruiter who introduced the intern role and Nasdaq's work culture, then walked line-by-line through the CV asking about projects, mentorships, tech stack preferences (front-end vs back-end, languages, databases) and college schedule fit.
Covered · Resume deep-dive, Past projects, STAR stories
Basic ATS-style resume screen to qualify candidates into the online test.
Covered · Resume deep-dive
2
Multilingual online testOnline assessment
Timed online test covering Python, C#, C, C++ and JavaScript. Difficulty was rated easy to medium overall.
Covered · Data structures & algorithms, OOP
3
Resume discussion and get-to-know callHiring manager
Recruiter-led call covering standard 'tell me about yourself' and 'why Nasdaq' prompts alongside a walkthrough of projects and prior internship experience.
Technical interviewer opened with a discussion of merge sort and its complexity, then moved through medium-level coding problems on arrays, linked lists and trees drawn from typical LeetCode / GFG-style question banks.
Practical questions on basic Linux commands (file manipulation, process management) and SQL queries covering data retrieval and manipulation on a relational schema.
Covered · SQL, Operating systems, DBMS
3
Behavioral / culture fitBehavioral
Discussion of prior experiences, challenges faced and how they were handled, plus teamwork, communication and adaptability probes to gauge culture fit.
Covered · Behavioral, STAR stories, Conflict handling
Nasdaq's engineering hiring in India (Bangalore-based Technology Intern / SDE Intern pipeline) runs an early-career loop that begins with a HackerEarth online challenge (coding plus analytical MCQs across multiple languages), moves to a recruiter-led get-to-know call that walks through the CV, and ends with technical and behavioral interviews focused on data structures, algorithms, SQL and Linux fundamentals. First-hand accounts outside this India campus / internship channel are essentially absent from the sources allowed by this spec: Wall Street Oasis's Nasdaq company page shows zero interview reviews, Reddit's r/quant / r/FinancialCareers / r/cscareerquestions carry Nasdaq-the-index chatter but no candidate loop writeups, and Hacker News' Algolia has none. So the corpus captured here is skewed toward India software-engineering interns.
What topics does Nasdaq test in interviews?
Commonly reported topics include HackerEarth OA, Data structures & algorithms, SQL, Operating systems, Behavioral, Resume deep-dive.
These guides summarize public, first-hand interview experiences shared by candidates. They describe the shape of each loop and the topics that came up, not a leaked question bank, and every experience links back to its original source. Processes change often; treat this as directional prep, not a script.