Bloomberg vs Epam Systems: Interview Question Comparison

When preparing for technical interviews, understanding the specific focus and expectations of each company is crucial for efficient study. Bloomberg and Epam Systems represent two distinct ends of the spectrum in terms of interview question volume, difficulty, and topic emphasis. A targeted approach, based on their published question data, can significantly streamline your preparation.

Question Volume and Difficulty

The most striking difference is the sheer scale of preparation required.

Bloomberg has a massive, well-documented repository of 1,173 questions, categorized by difficulty: 391 Easy, 625 Medium, and 157 Hard. This volume indicates that Bloomberg's interview process is highly standardized around a large pool of potential problems. Success requires broad exposure to many problem patterns and concepts. The heavy weighting toward Medium-difficulty questions suggests interviews are designed to test solid, applied problem-solving skills under time constraints, with Hard questions likely used to differentiate top candidates.

Epam Systems, in contrast, has a much smaller set of 51 questions: 19 Easy, 30 Medium, and only 2 Hard. This smaller pool suggests a more focused interview process. Preparation can be more targeted, with an emphasis on mastering fundamental algorithms and data structures. The minimal number of Hard questions indicates that the technical screen likely prioritizes correctness and clean implementation on standard problems over solving novel, highly complex algorithms.

Topic Overlap

Both companies emphasize core computer science fundamentals, but with a slight shift in priority.

The top topics for Bloomberg are Array, String, Hash Table, and Math. This aligns with the company's domain in financial data and real-time information systems, where efficient data manipulation, indexing (Hash Table), and processing of numerical or textual data streams (Array, String, Math) are paramount.

Epam Systems lists Array, String, Two Pointers, and Hash Table. The notable inclusion of Two Pointers as a top topic, replacing Bloomberg's Math, suggests a strong focus on specific algorithmic techniques for optimizing array and string manipulation, such as searching, sorting in-place, or finding pairs. This is common in software engineering roles focused on building and maintaining applications.

There is significant overlap in Array, String, and Hash Table questions. Mastering these will benefit you for both companies. A key difference is that for Epam, you should deeply practice the Two Pointers technique, while for Bloomberg, you should ensure comfort with mathematical and numerical reasoning problems.

# Example: Two Pointers (relevant for Epam's focus)
def reverse_string(s):
    left, right = 0, len(s) - 1
    while left < right:
        s[left], s[right] = s[right], s[left]
        left += 1
        right -= 1
    return s

# Example: Hash Table (common to both)
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 []

Which to Prepare for First

Your preparation order should be dictated by your interview timeline and the efficiency of study.

If you have interviews with both companies, prepare for Epam Systems first. The smaller, more focused question set allows you to build core competency quickly. Mastering the ~50 questions, especially the Two Pointers technique, will give you a strong foundation in the topics (Array, String, Hash Table) that are also critical for Bloomberg. This creates a efficient stepping stone.

Subsequently, transition to Bloomberg preparation. Use the foundation from Epam prep to tackle the much larger question bank. Focus on solving a wide variety of Medium-difficulty problems from Bloomberg's top topics, and incorporate practice with mathematical problems. The volume demands a longer, more dedicated study period.

If you are interviewing for only one company, tailor your plan directly to their profile. For Epam, depth on the core list is key. For Bloomberg, breadth and pattern recognition across hundreds of problems is non-negotiable.

For further details, visit the company pages: Bloomberg and Epam Systems.