
LSEG Software Engineer candidates report coding, behavioural, technical-stack, and communication-focused interviews, with reported processes ranging from four to five rounds.
$136K
Avg. Base Comp
$152K
Avg. Total Comp
4-5 rounds
Typical Rounds
1 day
Process Length
LSEG Software Engineer interview reports point to a broad evaluation rather than one uniform technical screen. One candidate described a four-stage online path with a coding assessment, an immersive behavioural assessment, and a video conversation; the coding example was a sliding-window problem using a hash map. That candidate also encountered teamwork, challenge-handling, workplace-decision, and client-requirement scenarios. Prepare both a concise coding walkthrough and specific examples of how you handle people and ambiguity.
Other reports describe a five-round, face-to-face process completed in one day, including an MCQ round, two technical rounds, managerial discussion, and HR. Its technical discussion was Java and backend-heavy: multithreading, garbage collection, Spring Boot, Hibernate, AWS, and explaining a project migration from a monolith to microservices. A separate Software Engineer account instead covered .NET, dependency injection, JWT authentication, Angular routing, JavaScript closures, C# OOP, SQL, and a small sorted-array exercise.
The practical implication is to organize preparation around the stack named for the opening while keeping fundamentals ready across backend, web, security, and SQL topics. Be prepared to explain trade-offs aloud, present a solution, and connect prior project decisions to the software-development life cycle. Evidence is limited to a small set of candidate reports, so the exact format may vary.
Synthesized from 3 candidate reports by our editorial team.
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Real interview reports from people who went through the Lseg (london stock exchange group) process.
I completed four reported stages and am waiting for the final response. The process included a coding assessment, an immersive online behavioural assessment, and a video interview. The coding assessment included a sliding-window problem using a hash map. The behavioural assessment covered teamwork, handling challenges, and workplace decision-making. In the video interview, I discussed my background, experience, and approach to working as an intern. The biggest challenge was answering behavioural questions confidently and thinking on my feet.
Question asked: How would you handle a client who is not satisfied with the requirements?
Prep tip from this candidate
Practice a sliding-window/hash-map coding problem, then prepare concise examples of teamwork, handling challenges, workplace decisions, and responding constructively to a dissatisfied client.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Lseg (london stock exchange group)
Select the 2nd highest salary in the engineering department
| Question | |
|---|---|
| Triplet Counting | |
| Term Frequency | |
| Hurdles In Data Projects | |
| Deciding Between Solutions | |
| Testing Constraints | |
| Client Solution Pushback | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| Merge Sorted Lists | |
| Employee Salaries | |
| Subscription Overlap | |
| Closest SAT Scores | |
| Empty Neighborhoods | |
| Top Three Salaries | |
| Monthly Customer Report | |
| Rolling Bank Transactions | |
| Find the Missing Number | |
| Bagging vs Boosting | |
| String Shift | |
| Prime to N | |
| Comments Histogram | |
| Top 5 Turnover Risk | |
| Maximum Profit | |
| Like Tracker | |
| Find the First Non-Repeating Character in a String | |
| Google Maps Improvement | |
| Total Spent on Products | |
| P-value to a Layman | |
| Size of Joins |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report different entry formats: one four-stage process included a coding assessment and an immersive online behavioural assessment, while another walk-in process began with an MCQ round. These reports support preparing for both timed problem solving and structured judgement questions.
Technical content varied by candidate. Reported topics included a sliding-window/hash-map problem, Java multithreading, garbage collection, Spring Boot, Hibernate, AWS, .NET, dependency injection, JWT authentication, Angular routing, SQL, and a sorted-array task. Focus on explaining your reasoning as you work.
Candidates report video, managerial, or HR conversations covering background, teamwork, challenges, workplace decisions, client pushback, problem solving, SDLC thinking, and prior projects. Prepare short examples that show how you communicate an approach and respond constructively when requirements change.