Groww is one of India’s fastest-growing fintech platforms, known for building scalable systems that serve millions of users investing in mutual funds, stocks, and other financial products. Because of the scale and reliability required in fintech applications, Groww places strong emphasis on data structures and algorithms (DSA) during the engineering interview process.

In the coding rounds, candidates are typically expected to demonstrate strong problem-solving skills, efficient algorithm design, and clean implementation. Questions often focus on core topics such as arrays, hashing, recursion, trees, and graph-based logic. Practicing targeted problems can significantly improve your ability to recognize patterns and write optimized solutions under time pressure.

This page includes 2 carefully selected Groww-style DSA questions designed to help you understand the type of problems commonly asked in their coding interviews. Working through these questions will help you strengthen fundamentals, improve coding speed, and prepare confidently for Groww’s technical rounds.

Groww’s engineering interviews are designed to assess a candidate’s ability to build reliable and efficient systems. The coding rounds primarily focus on problem-solving ability, algorithmic thinking, and code quality. Interviewers expect candidates to clearly explain their approach, analyze time and space complexity, and write clean, bug-free code.

Typically, the process may include an online coding assessment followed by one or more technical interview rounds. During these rounds, you may be asked to solve real-time problems while discussing your reasoning. Communication and structured thinking are just as important as arriving at the correct solution.

Common DSA topics frequently appearing in Groww-style interviews include:

• Arrays and Hashing for efficient lookups and frequency problems
• Two-pointer and sliding window techniques for optimized traversal
• Trees and recursion for hierarchical data problems
• Graphs and BFS/DFS for traversal-based questions
• Sorting and searching for performance optimization

To prepare effectively, focus on mastering fundamental DSA concepts and practice implementing solutions from scratch. Start by solving curated interview-style questions, analyze multiple approaches, and optimize for time and space complexity. It also helps to simulate interview conditions by solving problems within time limits.

When practicing, try explaining your thought process aloud, consider edge cases early, and write readable code. These habits will make a big difference during Groww’s live coding interviews.