
Understanding the type of Bloomberg Leetcode Questions, they frequently asked. This article will guide you through what to expect and how to prepare.
Table of Contents
1. Overview of Bloomberg Company
Bloomberg L.P. is an American privately held financial, software, data, and media company headquartered in Midtown Manhattan, New York City. It provides financial software tools and enterprise applications such as analytics and an equity trading platform, data services, and news to financial companies and organizations. The company has 176 locations and nearly 20,000 employees.
2. Why Bloomberg LeetCode Questions Matter in 2025
Bloomberg’s technical interviews heavily focus on problem-solving skills, with LeetCode-style questions dominating the process. These questions test your ability to handle real-world financial data challenges, optimize algorithms, and write clean code under pressure.
3. Top LeetCode Bloomberg Questions to Practice
Based on aggregated data from coding platforms and GitHub repositories, here are key problem categories to prioritize:
- Two Pointers & Sliding Window: Ideal for array-based problems like Trapping Rain Water.
- Dynamic Programming (DP): Frequently seen in optimizing path-counting (e.g., Unique Paths).
- Linked Lists: Master adding numbers stored in reverse order (e.g., Add Two Numbers II).
- Hash Tables & Arrays: Central to problems like Two Sum and First Unique Character.
- System Design: Though not LeetCode-specific, Bloomberg often integrates design questions in later rounds.
4. Common Mistakes to Avoid
- Ignoring Edge Cases: Bloomberg’s financial data problems require precision. For example, handling zero-values in Move Zeroes.
- Overcomplicating Solutions: Use built-in libraries (e.g., Python’s
deque
for LRU Cache) instead of reinventing the wheel
List of all Leetcode Problem
1. Easy Problems
2. Medium Problems
3. Hard Problems

Bloomberg Leetcode Questions
S.No. | Name | Level of Question | Solution |
1 | Binary Tree Level Order Traversal | Medium | Link |
2 | Best Time to Buy and Sell Stock with Transaction Fee | Medium | Link |
3 | Trim a Binary Search Tree | Medium | Link |
4 | Next Greater Element III | Medium | Link |
5 | Number of Provinces | Medium | Link |
6 | Add Two Numbers II | Medium | Link |
7 | String Compression | Medium | Link |
8 | Lexicographical Numbers | Medium | Link |
9 | Find the Duplicate Number | Medium | Link |
10 | H-Index | Medium | Link |
11 | Kth Smallest Element in a BST | Medium | Link |
12 | Implement Trie Prefix Tree | Medium | Link |
13 | LRU Cache | Medium | Link |
14 | Factorial Trailing Zeroes | Medium | Link |
15 | Palindrome Partitioning | Medium | Link |
16 | Populating Next Right Pointers in Each Node II | Medium | Link |
17 | Path Sum II | Medium | Link |
18 | Construct Binary Tree from Preorder and Inorder Traversal | Medium | Link |
19 | Binary Tree Zigzag Level Order Traversal | Medium | Link |
20 | 3Sum Closest | Medium | Link |
21 | Container with Most Water | Medium | Link |
22 | Reverse Words in a String | Medium | Link |
23 | Reverse Integer | Medium | Link |
24 | Top-K Frequent Words | Medium | Link |
25 | Kth Largest Element in an Array | Medium | Link |
26 | Word Break | Medium | Link |
27 | Copy List with Random Pointer | Medium | Link |
28 | String to Integer | Medium | Link |
29 | Populating Next Right Pointers in Each Node II | Medium | Link |
30 | Merge Intervals | Medium | Link |
31 | Serialize and Deserialize Binary Tree | Hard | Link |
32 | Unique Paths II | Medium | Link |
33 | Unique Paths | Medium | Link |
34 | Validate Binary Search Tree | Medium | Link |
35 | Same Tree | Easy | Link |
36 | Subsets | Medium | Link |
37 | Sqrt(x) | Easy | Link |
38 | Merge Sorted Array | Easy | Link |
39 | Word Search | Medium | Link |
40 | Min Stack | Medium | Link |
41 | Pow(x,n) | Medium | Link |
42 | Group Anagrams | Medium | Link |
43 | Trapping Rain Water | Hard | Link |
44 | Swap Nodes in Pairs | Medium | Link |
45 | Search in Rotated Sorted Array | Medium | Link |
46 | Reverse Linked List | Easy | Link |
47 | Valid Parentheses | Easy | Link |
48 | Intersection of Two Linked Lists | Easy | Link |
49 | Longest Palindromic Substring | Medium | Link |
50 | 3Sum | Medium | Link |
51 | Longest Substring without Repeating Characters | Medium | Link |
52 | Add Two Numbers | Medium | Link |
53 | Remove Duplicates from Sorted Array | Easy | Link |
54 | Two Sum | Easy | Link |
55 | Best Time to Buy And Sell Stock II | Medium | Link |
FAQs
1. How hard are Bloomberg’s LeetCode questions?
Bloomberg’s LeetCode questions are moderately challenging, focusing on patterns like Backtracking and BFS/DFS, but easier than FAANG
2. Does Bloomberg ask system design questions?
Yes, especially during onsite rounds (e.g., optimizing data pipelines)
3. How many LeetCode problems should I solve?
Aim for 150–200 curated problems, prioritizing patterns listed above
4. Are past Bloomberg LeetCode questions available?
Yes! Check LeetCode’s discussion forum and GitHub repositories
Ready to Conquer Bloomberg’s 2025 Coding Challenges? Start with these patterns, refine your approach, and watch your confidence soar! 🚀
Happy Reading…