Πόσο διαρκεί η διαδικασία συνέντευξης της LSEG;

Οι περισσότεροι υποψήφιοι ξοδεύουν 4 έως 8 εβδομάδες από το screen recruiter μέχρι την προσφορά. Το ίδιο το onsite loop τρέχει σε μία μέρα ή χωρίζεται σε δύο μισές ημέρες, με debrief και προσφορά τυπικά μέσα σε 5 εργάσιμες ημέρες μετά.

Πώς πρέπει να προετοιμαστώ ειδικά για την LSEG;

Εστιάστε σε τρία πράγματα: (1) στο DNA της εταιρείας που δείχνεται παραπάνω — τι βαθμολογούν πραγματικά, (2) στους γύρους του loop σας, ειδικά τον γύρο που οι περισσότεροι υποψήφιοι υποτιμούν, και (3) σε εξάσκηση στους τύπους ερωτήσεων αυτού του οδηγού χρησιμοποιώντας ένα δομημένο πλαίσιο όπως CIRCLES ή STAR.

Ισχύει αυτό για ρόλους engineering ή design στην LSEG;

Το DNA παραμένει το ίδιο — αυτό που αλλάζει είναι ο συνδυασμός γύρων. Οι υποψήφιοι SWE αντιμετωπίζουν coding screens αντί για Product Sense· οι designers αντιμετωπίζουν portfolio reviews και ασκήσεις σχεδιασμού. Το «τι εκτιμούν» και τα συμπεριφορικά σήματα μεταφέρονται σε όλες τις λειτουργίες.

Why are you interested in joining LSEG, and what specifically about our software engineering opportunities excites you?

Type: Motivation. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Given a stream of real-time stock trades (timestamp, symbol, price, quantity), design a data structure and algorithm to efficiently calculate the volume-weighted average price (VWAP) for a given symbol over a specified time window.

Type: Algorithmic. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Implement a function to find the k-th most frequent element in a list of financial instrument IDs. Assume IDs are strings.

Type: Algorithmic. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Design a system to detect and flag potentially fraudulent financial transactions in real-time. Consider the scale of LSEG's data.

Type: System Design. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Write a function to calculate the Sharpe Ratio for a given portfolio's historical returns. Handle potential division by zero and edge cases.

Type: Algorithmic. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Here is a piece of code that is supposed to calculate the correlation matrix for a set of financial time series. It's producing incorrect results or crashing. Find and fix the bugs.

Type: Debugging. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Tell me about a time you had a significant disagreement with a cross-functional team member (e.g., engineering, sales, legal) about a product decision. How did you approach it, and what was the outcome?

Type: Conflict Resolution. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Tell me about a time you had to work with a difficult stakeholder or team member. How did you approach the situation and what was the outcome?

Type: Behavioral. Sign up at JobMentis to see the full framework, grading signals, and worked answer for this question.

Other roles at LSEG:Product Manager Software Engineer IB Analyst Sales

Enterprise · Software Engineer Interview Guide

How to Pass the LSEG Software Engineer Interview in 2026

Το DNA της LSEG (TL;DR)

LSEG values strong analytical skills, problem-solving, and a deep understanding of financial markets and data. They seek candidates who can collaborate effectively and contribute to building robust financial infrastructure and data solutions like Refinitiv Workspace.

Οι συνεντεύξεις tech διεξάγονται στα αγγλικά

Ακόμη κι όταν κάνετε αίτηση τοπικά, η ίδια η συνέντευξη γίνεται σχεδόν πάντα στα αγγλικά. Σας δείχνουμε κάθε ερώτηση και prompt πρώτα στα αγγλικά — τη γλώσσα στην οποία θα γίνει η συνέντευξη — με μετάφραση από κάτω για να προετοιμαστείτε στην ισχυρότερη γλώσσα σας.

Το Interview Loop της LSEG

Το onsite loop σας θα αποτελείται τυπικά από 5 γύρους.

1
Γύρος 1
Recruiter Screen
Motivation, role fit, logistics.
2
Γύρος 2
Coding Screen
LeetCode-medium algorithmic problems under time pressure.
3
Γύρος 3
System Design
Distributed systems, trade-offs at scale, architecture under constraints.
4
Γύρος 4
Onsite Coding
LeetCode-hard, debugging, code clarity, edge cases.
5
Γύρος 5
Behavioral / Leadership
Past evidence of ownership, influence, resolving conflict.

Η ζώνη κινδύνου: Κορυφαίοι λόγοι που οι υποψήφιοι αποτυγχάνουν

Με βάση τη βάση δεδομένων μας με αποτελέσματα συνεντεύξεων LSEG, αποφύγετε αυτές τις συνηθισμένες παγίδες:

Choosing a single-node cache for a high-throughput system.
Introducing unnecessary complexity.
Using inefficient sorting methods after counting frequencies.
Focusing on persuasion tactics rather than understanding the stakeholder's perspective.

Δοκιμάστε τον εαυτό σας: Πραγματικές ερωτήσεις LSEG

Τρία πραγματικά prompts τραβηγμένα από τη βάση δεδομένων μας.

Τύπος · Behavioral

Tell me about a time you had to make a significant technical decision with incomplete information. How did you mitigate the risks associated with your decision?

Τύπος · System Design

Design a distributed caching system for frequently accessed market data (e.g., current prices, order book snapshots). Discuss cache invalidation strategies.

Τύπος · Conflict Resolution

Tell me about a time you had a significant disagreement with a colleague or manager regarding a sales strategy or approach. How did you resolve it?

+ πολλές ακόμη ερωτήσεις, σήματα και επεξεργασμένα παραδείγματα

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LSEG Interview Question Bank

A sample from our database, grouped by round. Sign up to see the full set.

9 of 19 questions shown

Recruiter Screen

1
Τύπος · Motivation
Why are you interested in joining LSEG, and what specifically about our software engineering opportunities excites you?

Coding Screen

2
Τύπος · Algorithmic
Given a stream of real-time stock trades (timestamp, symbol, price, quantity), design a data structure and algorithm to efficiently calculate the volume-weighted average price (VWAP) for a given symbol over a specified time window.
3
Τύπος · Algorithmic
Implement a function to find the k-th most frequent element in a list of financial instrument IDs. Assume IDs are strings.
+ 1 more questions in this round (sign up to unlock)

System Design

4
Τύπος · System Design
Design a system to detect and flag potentially fraudulent financial transactions in real-time. Consider the scale of LSEG's data.
5
Τύπος · System Design
Design a distributed caching system for frequently accessed market data (e.g., current prices, order book snapshots). Discuss cache invalidation strategies.
+ 1 more questions in this round (sign up to unlock)

Onsite Coding

6
Τύπος · Algorithmic
Write a function to calculate the Sharpe Ratio for a given portfolio's historical returns. Handle potential division by zero and edge cases.
7
Τύπος · Debugging
Here is a piece of code that is supposed to calculate the correlation matrix for a set of financial time series. It's producing incorrect results or crashing. Find and fix the bugs.
+ 1 more questions in this round (sign up to unlock)

Behavioral / Leadership

8
Τύπος · Conflict Resolution
Tell me about a time you had a significant disagreement with a cross-functional team member (e.g., engineering, sales, legal) about a product decision. How did you approach it, and what was the outcome?
9
Τύπος · Behavioral
Tell me about a time you had to work with a difficult stakeholder or team member. How did you approach the situation and what was the outcome?
+ 7 more questions in this round (sign up to unlock)

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Interview tracks at LSEG

How LSEG's DNA translates across functions. Pick your role.

SWEs are evaluated on data structures, algorithms, system design, and coding proficiency (Java/Python/C++). LSEG seeks experience with high-performance, low-latency systems, cloud (AWS), and financial data processing, emphasizing scalability and reliability for critical financial applications.

Behavioral

Tell me about a time you had to make a significant technical decision with incomplete information. How did you mitigate the risks associated with your decision?

System Design

Design a distributed caching system for frequently accessed market data (e.g., current prices, order book snapshots). Discuss cache invalidation strategies.

+ 1 more

Unlock the Software Engineer grading rubric for LSEG

See full Software Engineer guide