Morgan Stanley Software Engineer interviews reported here range from assessments and language fundamentals to project discussions, system design, and behavioral conversations. Prepare for team and technology variation.
$167K
Avg. Base Comp
$230K
Avg. Total Comp
2-8 rounds
Typical Rounds
2 weeks
Process Length
Morgan Stanley Software Engineer interviews in these reports vary by team, seniority, and specialization, but Java and practical engineering fundamentals recur across several accounts. Candidates described Java screening questions, deeper Java interviews, OOP and polymorphism, and detailed discussion of projects or existing systems. Other reported fundamentals included DBMS, data structures and algorithms, operating systems, SQL, C memory allocation, and stack-versus-heap concepts. Align preparation with the language and responsibilities named for the specific opening.
Coding can appear in an online assessment or live interview. Reported tasks included debugging under a short clock, dynamic programming, linked-list reversal, designing an LRU cache, sorting by hand, and questions involving stacks and queues. Practice explaining the logic as you work, including state, complexity, and implementation choices. Some assessments also combined coding with aptitude, logical reasoning, or chart interpretation.
System and project conversations are another meaningful preparation area. Candidates were asked to explain the architecture of a system they worked with and to discuss designs involving rate limiting or a payment gateway. Prepare a structured walkthrough of a project, the components involved, and the reasons behind important decisions.
Behavioral discussions covered challenges, failure, leadership, collaboration, workplace changes, and project-management experience. Reported formats included a three-round process, three technical interviews followed by a hiring-manager conversation, and a Superday with four individual interviews plus a group case study. One candidate reported a process of about two weeks, but the accounts do not establish a universal timeline.
Synthesized from 15 candidate reports by our editorial team.
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Featured question at Morgan Stanley
Given two sorted lists, write a function to merge them into one sorted list.
| Question | |
|---|---|
| Find the Missing Number | |
| Maximum Profit | |
| Size of Joins | |
| Get Top N Frequent Words | |
| Cyclic Detection | |
| Sort Strings | |
| Hurdles In Data Projects | |
| Success Measurement | |
| Coin Dispenser | |
| RAG Strict Source Control | |
| Implementing the Fibonacci Sequence in Three Different Methods | |
| Last Element of a Singly Linked List | |
| Shortest Path Algorithms | |
| Text Editor With OOP | |
| Fixed-Length Arrays: Deletion | |
| Ranking Metrics | |
| Why Do You Want to Work With Us | |
| Justify a Neural Network | |
| Your Strengths and Weaknesses | |
| LRU Cache 1 | |
| Parking Application System Design | |
| 2nd Highest Salary | |
| Employee Salaries | |
| Subscription Overlap | |
| Closest SAT Scores | |
| Empty Neighborhoods | |
| Top Three Salaries | |
| Monthly Customer Report | |
| Rolling Bank Transactions |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report phone screens, recruiter conversations, HireVue, or online assessments before later interviews. Assessments may combine coding with debugging, aptitude, chart interpretation, or logical reasoning; some reports instead describe a short background and language-fundamentals screen.
Candidates report technical conversations on Java, Spring Boot, OOP, SQL, DBMS, OS, and data structures, with team-specific C++, frontend, or backend depth. Coding examples include dynamic programming, sorting, linked lists, LRU cache design, and code-output reasoning; formats may involve live coding or a whiteboard.
Later technical conversations may ask candidates to explain a system they built or reason through an open-ended design. Reported prompts include URL shortening, rate limiting, payment flows, Uber, and an inbox-style product; candidates also describe detailed follow-ups on design choices and tradeoffs.
Candidates report behavioral or hiring-manager discussions alongside technical material, including project fit, challenges, failure, leadership, collaboration, and hypothetical workplace situations. Some processes end with HR or administrative discussion, while others use a longer multi-interviewer final stage.
