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Growth · Software Engineer Interview Guide

Headquartered in United Kingdom

Interview language: English

How to Pass the Capital.com Software Engineer Interview in 2026

The Capital.com DNA (TL;DR)

Capital.com's 'Online Trading' platform serves as a key reference point; interviewers assess how candidates would innovate within its constraints. They seek individuals who can clearly articulate financial concepts and apply a nuanced approach to risk, reflecting principles found in their 'Risk Disclosure Statement Log'.
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The Capital.com Interview Loop

Your onsite loop will typically consist of 5 rounds.

  1. 1

    Round 1

    Recruiter Screen
    Motivation, role fit, logistics.
  2. 2

    Round 2

    Coding Screen
    LeetCode-medium algorithmic problems under time pressure.
  3. 3

    Round 3

    System Design
    Distributed systems, trade-offs at scale, architecture under constraints.
  4. 4

    Round 4

    Onsite Coding
    LeetCode-hard, debugging, code clarity, edge cases.
  5. 5

    Round 5

    Behavioral / Leadership
    Past evidence of ownership, influence, resolving conflict.

The Danger Zone: Top Reasons Candidates Fail

Based on our database of Capital.com interview outcomes, avoid these common traps:

  • Ignoring the specific constraints of high-frequency financial systems
  • Failing to address reliability and fault tolerance of the notification delivery.
  • Using a data structure that doesn't allow for efficient addition and removal of elements.
  • Not handling the initial state or edge cases like zero transactions.

Test Yourself: Real Capital.com Questions

Three real prompts pulled from our database.

Type · algorithmic

Given a stream of stock trades, each with a timestamp and price, design an algorithm to efficiently calculate the N-minute moving average price for any given time.

Type · debugging

Here is a snippet of code that's supposed to calculate the profit/loss for a given trade. It's producing incorrect results for some edge cases. Debug and fix it.

Type · architecture

How would you design a system to detect and prevent fraudulent trading activities on Capital.com's platform in real-time?

+ many more questions, signals, and worked examples

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Capital.com Interview Question Bank

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

9 of 13 questions shown

1

Recruiter Screen

1
  1. 1

    Type · motivation

    What interests you about working at Capital.com, specifically within the fintech industry and our engineering team?
2

Coding Screen

3
  1. 2

    Type · algorithmic

    Given a stream of stock trades, each with a timestamp and price, design an algorithm to efficiently calculate the N-minute moving average price for any given time.
  2. 3

    Type · algorithmic

    Implement a function that takes a list of financial transactions (each with an amount and a timestamp) and returns the total balance after each transaction, considering a daily fee if the balance drops below a certain threshold.
  3. + 1 more questions in this round (sign up to unlock)
3

System Design

3
  1. 4

    Type · architecture

    Design a real-time stock price notification system for Capital.com users. Users should be able to set price alerts for specific stocks, and receive notifications when those prices are met or crossed.
  2. 5

    Type · architecture

    How would you design a system to detect and prevent fraudulent trading activities on Capital.com's platform in real-time?
  3. + 1 more questions in this round (sign up to unlock)
4

Onsite Coding

3
  1. 6

    Type · algorithmic

    You are given a list of historical price data for a stock, represented as pairs of (timestamp, price). Implement a function to find the maximum profit that could have been made by buying and selling the stock once. Assume you must buy before you sell.
  2. 7

    Type · code-quality

    Refactor this existing Python code for calculating currency exchange rates to improve its readability, maintainability, and performance. Consider potential issues with floating-point precision and error handling.
  3. + 1 more questions in this round (sign up to unlock)
5

Behavioral / Leadership

3
  1. 8

    Type · ownership

    Tell me about a time you encountered a significant technical challenge or bug in a production system that was impacting users. What steps did you take to diagnose, resolve, and prevent recurrence?
  2. 9

    Type · collaboration

    At Capital.com, we often balance the trade-off between ultra-low latency execution and strict regulatory compliance requirements. Describe a time you had to advocate for a specific architectural trade-off that prioritized platform stability or risk mitigation over feature velocity. How did you align your engineering team with the long-term risk profile of the trading system?
  3. + 1 more questions in this round (sign up to unlock)

Unlock all 13 Capital.com questions, free

No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.

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Interview tracks at Capital.com

How Capital.com's DNA translates across functions. Pick your role.

Compare Capital.com with similar employers

Same DNA, different bar. Browse the closest companies in our database and see how their loops differ.

Practice Capital.com interviews end-to-end

Sample answers

What a strong answer to these Capital.com interview questions shows.

Given a stream of stock trades, each with a timestamp and price, design an algorithm to efficiently calculate the N-minute moving average price for any given time.

A strong answer shows: Proposes an efficient solution with low time complexity for queries.; Discusses trade-offs between space and time complexity.; Handles edge cases and potential data issues..

Here is a snippet of code that's supposed to calculate the profit/loss for a given trade. It's producing incorrect results for some edge cases. Debug and fix it.

A strong answer shows: Systematically identifies the bug and explains its cause.; Provides a correct and robust fix.; Demonstrates understanding of potential pitfalls in financial calculations (e.g., floating-point arithmetic)..

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