This page contains Razorpay 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 : Java, Python, C++, Go
Success Rate : ~15-20% cleared OA and advanced to interviews
Q1: Design a payment gateway system that can handle millions of transactions. Requirements :
Transaction processing
Payment routing
Fraud detection
High availability
Key Components :
Payment Service: Process transactions
Gateway Service: Route payments
Fraud Detection Service: Detect fraudulent transactions
Database: Store transaction data
Cache: Store frequently accessed data
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
Payment Gateway Focus : Problems often relate to payment systems, transactions, security, AI-powered fraud detection
System Design : Asked for SDE-1/2 roles, payment gateway design for fintech roles
Success Rate : Only 15-20% cleared OA and advanced to interviews
Platform : HackerRank or Razorpay’s internal platform
Focus Areas : Arrays, trees, graphs, dynamic programming, payment systems, AI/ML in fintech
Enhanced Emphasis : Optimal solutions, AI-powered fraud detection, and cloud-native payment systems
Based on recent candidate experiences from 2025 Razorpay interviews:
2025 Interview Process:
Online Assessment (90 minutes) : 2-3 coding problems
Technical Phone Screen (45-60 minutes) : Coding problems, algorithm discussions, payment gateway 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 payment gateways, transaction processing, security systems, cloud-native architecture
Behavioral rounds: Problem-solving approach, security mindset, impact, AI/ML passion
2025 Interview Trends:
Increased emphasis on AI-powered fraud detection and cloud-native payment systems
More focus on optimal solutions and security best practices
Enhanced behavioral questions about security mindset and innovation
Questions about AI/ML applications in payment systems and fraud detection
Common 2025 Interview Topics:
Coding : Arrays, strings, trees, graphs, dynamic programming, payment algorithms
System Design : AI-powered payment gateways, transaction processing, security systems, cloud-native fintech architecture
Behavioral : Problem-solving, security mindset, teamwork, impact, AI/ML passion
Razorpay Technologies : Payment gateways, AI-powered fraud detection, transaction processing, cloud-native platforms
Success Tips:
Strong coding performance is essential - solve problems optimally
Understand payment gateway, AI-powered fraud detection, and cloud-native payment systems
Practice system design for AI-powered payment systems and security
Prepare examples demonstrating problem-solving and security mindset
Learn Razorpay’s products, AI features, and payment gateway technologies
Practice explaining your thought process clearly
For detailed interview experiences from 2025, visit Razorpay Interview Experience page.
Master Coding Fundamentals : Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
Payment Gateway Expertise : Strong understanding of payment gateways, AI-powered fraud detection, cloud-native payment systems
Practice Previous Year Papers : Solve Razorpay 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 payment systems, transactions, AI/ML in fintech
System Design Mastery : Learn AI-powered payment gateway design, transaction processing, security systems, cloud-native architecture
Security Knowledge : Understand security best practices for payment systems and AI-powered fraud detection
Behavioral Preparation : Prepare examples using STAR format - problem-solving, security mindset, AI/ML passion
Mock Tests : Take timed practice tests to improve speed and accuracy
AI/ML in Fintech : Understand AI/ML applications in payment systems and fraud detection
Razorpay 2024 Papers
Previous year Razorpay placement papers with questions and solutions
View 2024 Papers →
Razorpay Coding Questions
Complete collection of Razorpay coding problems with solutions
View Coding Questions →
Razorpay Interview Experience
Real interview experiences from successful candidates
Read Experiences →
Razorpay Preparation Guide
Comprehensive preparation strategy for Razorpay placement
View Preparation Guide →
Razorpay Main Page
Complete Razorpay placement guide with eligibility, process, and salary
View Main Page →
Practice 2025 papers to stay updated with latest patterns and prepare effectively!