This page contains CRED placement papers from 2024 with previous year online assessment questions, solutions, and exam patterns.
| Section | Questions | Time | Difficulty | Focus Areas |
|---|
| Coding Problems | 2-3 | 90 min | Medium-Hard | Arrays, trees, graphs, DP |
Total: 2-3 problems, 90 minutes
Platform: HackerRank or similar
Languages Allowed: Python, Java, JavaScript
Success Rate: ~15-20% cleared OA and advanced to interviews
Q1: Given two strings text1 and text2, return the length of their longest common subsequence.
Example:
Input: text1 = "abcde", text2 = "ace"
Solution (Python):
def longestCommonSubsequence(text1, text2):
m, n = len(text1), len(text2)
dp = [[0] * (n + 1) for _ in range(m + 1)]
for i in range(1, m + 1):
for j in range(1, n + 1):
if text1[i-1] == text2[j-1]:
dp[i][j] = dp[i-1][j-1] + 1
dp[i][j] = max(dp[i-1][j], dp[i][j-1])
Time Complexity: O(m × n)
Space Complexity: O(m × n)
- Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
- DSA Focus: Strong emphasis on arrays, strings, trees, graphs, and dynamic programming
- Time Management: 2-3 problems in 90 minutes requires excellent speed and accuracy
- Fintech Focus: Problems often relate to credit card rewards, payment systems, gamification
- System Design: Asked for SDE-1/2 roles, fintech system design for credit/rewards roles
- Success Rate: Only 15-20% cleared OA and advanced to interviews
- Platform: HackerRank or CRED’s internal platform
- Focus Areas: Arrays, trees, graphs, dynamic programming, fintech systems, gamification
Based on candidate experiences from 2024 CRED interviews:
2024 Interview Process:
- Online Assessment (90 minutes): 2-3 coding problems
- Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, fintech concepts
- Onsite Interviews (4-5 rounds, 45-60 minutes each):
- Coding rounds (2-3): Algorithms, data structures, problem-solving
- System Design rounds: Credit card rewards systems, payment processing, gamification platforms
- Behavioral rounds: Problem-solving approach, innovation, impact
Common 2024 Interview Topics:
- Coding: Arrays, strings, trees, graphs, dynamic programming, fintech algorithms
- System Design: Credit card rewards systems, payment processing, gamification platforms, fintech architecture
- Behavioral: Problem-solving, innovation, teamwork, impact
- CRED Technologies: Credit card rewards, payment systems, gamification, fintech platforms
2024 Interview Questions Examples:
- Longest Common Subsequence
- Design CRED’s rewards system (System Design)
- Design CRED’s payment processing system (System Design)
- Gamification algorithm problems
Success Tips:
- Strong coding performance is essential - solve problems optimally
- Understand credit card rewards and fintech concepts
- Practice system design for rewards systems and payment processing
- Prepare examples demonstrating innovation and problem-solving
- Learn CRED’s products and fintech technologies
- Practice explaining your thought process clearly
For detailed interview experiences, visit CRED Interview Experience page.
- Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
- Fintech Knowledge: Strong understanding of credit card rewards, payment processing, gamification
- Practice Previous Year Papers: Solve CRED OA papers from 2020-2024 to understand patterns
- Time Management: Practice completing 2-3 coding problems in 90 minutes
- LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
- Fintech Focus: Practice problems related to credit card rewards, payment systems, gamification
- System Design Mastery: Learn rewards system design, payment processing, gamification platforms
- CRED Technologies: Learn credit card rewards, payment systems, gamification, fintech platforms
- Behavioral Preparation: Prepare examples using STAR format - innovation, problem-solving, impact
- Mock Tests: Take timed practice tests to improve speed and accuracy
Practice 2024 papers to understand CRED OA pattern and prepare effectively!