← JP Morgan Interview Insights

JP Morgan·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
May 2026

Summary

Coding round at JP Morgan for a software engineer role. One algorithmic question, pretty focused, nothing behavioral. The problem itself was clean but I spent more time than I'd like to admit second-guessing my frequency counting logic.

Questions Asked (1)

Q1

Given a digit string of even length, find the minimum number of single-character changes needed so that the left half and right half are anagrams of each other.

Algorithms & Data Structures
Author's notes

My first instinct was to sort both halves and compare, which works but I fumbled explaining the complexity.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

First, clarify the problem and edge cases, then propose an efficient solution using frequency counting. For each half, count character frequencies and compute the number of mismatches, which equals the minimum changes needed.

Pro tip: Mention that the answer is simply the number of characters in the left half that are not matched in the right half, and that this can be computed in O(n) time with O(1) space (since alphabet size is constant).

1. Understand the problem

Restate the problem in your own words and confirm that the digit string has even length. Ask clarifying questions if needed.

2. Identify the core insight

Recognize that two strings are anagrams if their character frequency counts are identical. The minimum changes needed is the number of characters in one half that are not balanced by the other half.

3. Design the algorithm

Count frequencies of digits in the left half and right half. For each digit, compute the absolute difference in counts and sum them; the answer is half of that sum (or equivalently, the number of excess characters in the left half).

4. Analyze complexity

State that the algorithm runs in O(n) time and O(1) space (since there are only 10 possible digits).

5. Test with examples

Walk through a simple example, such as '1234', to verify the approach and handle edge cases like all characters already matching.

Key Points to Mention

  • Anagram definition: same character frequencies.
  • Frequency counting using an array of size 10 for digits.
  • The minimum changes equals the number of mismatched characters in one half.
  • Time complexity O(n) and space complexity O(1).
  • Edge cases: already anagrams, all characters different, even length guaranteed.
  • Alternative approach: sort both halves and compare, but less efficient.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.