This page contains CRED placement papers from 2025 with current 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: Design a credit card management system that can handle millions of users. Requirements :
User management
Credit card tracking
Bill payment processing
Rewards system
Key Components :
User Service: Manage user profiles
Card Service: Track credit cards
Payment Service: Process bill payments
Rewards Service: Manage rewards
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, AI-powered features
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, AI/ML
Enhanced Emphasis : Optimal solutions, AI-powered rewards systems, and cloud-native fintech platforms
Based on recent candidate experiences from 2025 CRED interviews:
2025 Interview Process:
Online Assessment (90 minutes) : 2-3 coding problems
Technical Phone Screen (45-60 minutes) : Coding problems, algorithm discussions, fintech concepts, AI/ML
Onsite/Virtual Interviews (4-5 rounds, 45-60 minutes each) :
Coding rounds (2-3): Algorithms, data structures, problem-solving
System Design rounds: AI-powered credit card rewards systems, payment processing, gamification platforms, cloud-native architecture
Behavioral rounds: Problem-solving approach, innovation, impact, AI/ML passion
2025 Interview Trends:
Increased emphasis on AI-powered rewards systems and cloud-native fintech platforms
More focus on optimal solutions and gamification algorithms
Enhanced behavioral questions about innovation and impact
Questions about AI/ML applications in credit card rewards and gamification
Common 2025 Interview Topics:
Coding : Arrays, strings, trees, graphs, dynamic programming, fintech algorithms, gamification
System Design : AI-powered credit card rewards systems, payment processing, gamification platforms, cloud-native fintech architecture
Behavioral : Problem-solving, innovation, teamwork, impact, AI/ML passion
CRED Technologies : Credit card rewards, AI-powered features, payment systems, gamification, cloud-native platforms
Success Tips:
Strong coding performance is essential - solve problems optimally
Understand credit card rewards, AI-powered gamification, and cloud-native fintech systems
Practice system design for AI-powered rewards systems and payment processing
Prepare examples demonstrating innovation and problem-solving
Learn CRED’s products, AI features, and fintech technologies
Practice explaining your thought process clearly
For detailed interview experiences from 2025, visit CRED Interview Experience page.
Master Coding Fundamentals : Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
Fintech Expertise : Strong understanding of credit card rewards, AI-powered gamification, cloud-native fintech systems
Practice Previous Year Papers : Solve CRED OA papers from 2020-2025 to understand evolving 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, AI/ML in fintech
System Design Mastery : Learn AI-powered rewards system design, payment processing, gamification platforms, cloud-native architecture
CRED Technologies : Learn credit card rewards, AI-powered features, payment systems, gamification, cloud-native platforms
Behavioral Preparation : Prepare examples using STAR format - innovation, problem-solving, AI/ML passion
Mock Tests : Take timed practice tests to improve speed and accuracy
AI/ML in Fintech : Understand AI/ML applications in credit card rewards and gamification
CRED 2024 Papers
Previous year CRED placement papers with questions and solutions
View 2024 Papers →
CRED Coding Questions
Complete collection of CRED coding problems with solutions
View Coding Questions →
CRED Interview Experience
Real interview experiences from successful candidates
Read Experiences →
CRED Preparation Guide
Comprehensive preparation strategy for CRED placement
View Preparation Guide →
CRED Main Page
Complete CRED placement guide with eligibility, process, and salary
View Main Page →
Practice 2025 papers to stay updated with latest patterns and prepare effectively!