IHS Markit, now part of S&P Global, is known for building large-scale financial data platforms, analytics tools, and enterprise software used across global markets. As a result, technical interviews for software engineering roles often focus on evaluating strong fundamentals in data structures and algorithms (DSA), along with clean coding and logical thinking.

During the coding round, candidates are typically asked to solve algorithmic problems that test their ability to break down complex requirements and implement efficient solutions. Practicing targeted problems can help you understand the patterns and approaches interviewers expect. On this page, you’ll find 1 carefully selected IHS Markit DSA interview question to help you practice the type of logic and problem-solving skills commonly assessed in their hiring process.

Working through these problems will help you build confidence, improve coding efficiency, and get familiar with the level of difficulty typically seen in IHS Markit technical interviews.

Preparing for an IHS Markit coding interview requires strong algorithmic thinking and the ability to write clean, optimized code. Interviewers usually evaluate how you approach a problem, how clearly you explain your logic, and how efficiently your solution works.

Most technical interviews include one or more coding problems that focus on core data structures and algorithmic concepts. While the difficulty is typically moderate, candidates are expected to demonstrate strong fundamentals and thoughtful optimization.

When preparing, focus on the following strategies:

• Master core data structures: Arrays, hash maps, stacks, queues, and trees often appear in coding rounds.
• Practice common algorithmic patterns: Sliding window, two pointers, recursion, and hash-based lookups are frequently useful.
• Explain your approach clearly: Interviewers value candidates who can communicate their thought process step by step.
• Optimize after solving: Start with a working solution, then discuss time and space complexity improvements.
• Write clean, readable code: Use meaningful variable names and handle edge cases carefully.

A focused practice routine that includes reviewing real interview-style questions, analyzing complexity, and discussing alternative solutions can significantly improve your chances of performing well in IHS Markit's technical rounds.