JPMorgan vs Wix: Interview Question Comparison

When preparing for technical interviews at JPMorgan and Wix, you'll find both similarities and distinct differences in their question profiles. JPMorgan, a global financial institution, focuses heavily on core data structure manipulation for its software engineering roles, often in the context of financial systems. Wix, a leading website development platform, also tests fundamental algorithms but places a greater emphasis on problems involving tree and graph traversals, reflecting the structural nature of web development. Understanding the volume, difficulty, and topic focus of each will help you prioritize your study time effectively.

Question Volume and Difficulty

JPMorgan's question bank is significantly larger, with 78 total questions compared to Wix's 56. This suggests JPMorgan has a broader set of problems or a longer history of curated questions, meaning you may need to cover more ground.

The difficulty distribution reveals their core focus:

• JPMorgan (E25/M45/H8): The emphasis is squarely on Medium difficulty (45 out of 78 questions, ~58%). The number of Hard questions is relatively low (8). This profile indicates that success hinges on mastering intermediate-level problem-solving with clean, efficient code. You must be highly proficient with Medium-tier challenges.
• Wix (E16/M31/H9): While also Medium-heavy (31 out of 56, ~55%), Wix has a slightly higher proportion of Hard questions (9 vs. 8, despite a smaller total bank). This points to a greater likelihood of encountering at least one complex, multi-step problem during their interview process.

In short, JPMorgan tests breadth and consistency at the Medium level, while Wix mixes Medium mastery with a sharper edge of advanced problems.

Topic Overlap

Both companies heavily test Array, String, and Hash Table manipulation. These are the absolute fundamentals. A question like "Two Sum" is fair game for either.

# Example: Two Sum (Hash Table)
def two_sum(nums, target):
    seen = {}
    for i, num in enumerate(nums):
        complement = target - num
        if complement in seen:
            return [seen[complement], i]
        seen[num] = i
    return []

The key divergence is the fourth most frequent topic:

• JPMorgan: Sorting. This aligns with data processing and analysis tasks. Expect problems involving merging intervals, finding minimum/maximum thresholds, or custom comparators.
• Wix: Depth-First Search (DFS). This reflects the importance of navigating hierarchical structures like the DOM, file systems, or site components. You must be comfortable with both tree and graph DFS.

# Example: DFS on a Binary Tree (Wix-focus)
def dfs(node, target):
    if not node:
        return False
    if node.val == target:
        return True
    return dfs(node.left, target) or dfs(node.right, target)

Which to Prepare for First

Prepare for JPMorgan first if you are earlier in your interview preparation journey. Its focus on Arrays, Strings, Hash Tables, and Sorting forms the essential core of algorithmic problem-solving. Mastering these topics, especially at the Medium level, will build a robust foundation that is directly transferable to Wix and most other companies. The larger question bank also provides extensive practice material.

Shift focus to Wix-specific preparation after solidifying your core skills. The additional requirement is achieving high competency with Depth-First Search and related tree/graph algorithms (like BFS, recursion, and backtracking). You must also be ready to tackle a slightly more challenging mix of problems, ensuring you can handle their proportion of Hard questions.

Ultimately, a strong candidate for either company will be excellent at the shared fundamental topics. The strategic difference is that JPMorgan preparation is an excellent baseline, while Wix preparation requires building an additional, specialized layer on top of that baseline.

For detailed question lists, visit the JPMorgan question bank and the Wix question bank.