This page contains PhonePe 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: Given an array of intervals, merge all overlapping intervals. Solution (Java) :
public int [][] merge ( int [][] intervals) {
if (intervals.length <= 1 ) return intervals;
Arrays. sort (intervals, (a, b) -> Integer. compare (a[ 0 ], b[ 0 ]));
List < int []> merged = new ArrayList<>();
merged. add (intervals[ 0 ]);
for ( int i = 1 ; i < intervals.length; i ++ ) {
int [] current = intervals[i];
int [] last = merged. get (merged. size () - 1 );
if (current[ 0 ] <= last[ 1 ]) {
last[ 1 ] = Math. max (last[ 1 ], current[ 1 ]);
return merged. toArray ( new int [merged. size ()][]);
Time Complexity : O(n log n)
Space Complexity : O(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
Payment System Focus : Problems often relate to payment systems, UPI, transactions, security, AI-powered features
System Design : Asked for SDE-1/2 roles, payment system design for fintech roles
Success Rate : Only 15-20% cleared OA and advanced to interviews
Platform : HackerRank or PhonePe’s internal platform
Focus Areas : Arrays, trees, graphs, dynamic programming, payment systems, UPI, AI/ML
Enhanced Emphasis : Optimal solutions, AI-powered UPI features, and cloud-native payment systems
Based on recent candidate experiences from 2025 PhonePe interviews:
2025 Interview Process:
Online Assessment (90 minutes) : 2-3 coding problems
Technical Phone Screen (45-60 minutes) : Coding problems, algorithm discussions, UPI/payment 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 UPI systems, payment processing, transaction systems, security, cloud-native architecture
Behavioral rounds: Problem-solving approach, security mindset, impact, AI/ML passion
2025 Interview Trends:
Increased emphasis on AI-powered UPI features 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 UPI and payment processing
Common 2025 Interview Topics:
Coding : Arrays, strings, trees, graphs, dynamic programming, payment algorithms
System Design : AI-powered UPI systems, payment processing, transaction systems, security, cloud-native fintech architecture
Behavioral : Problem-solving, security mindset, teamwork, impact, AI/ML passion
PhonePe Technologies : UPI, AI-powered features, payment systems, transaction processing, cloud-native platforms
Success Tips:
Strong coding performance is essential - solve problems optimally
Understand UPI, AI-powered payment features, and cloud-native payment systems
Practice system design for AI-powered UPI systems and payment processing
Prepare examples demonstrating problem-solving and security mindset
Learn PhonePe’s products, AI features, and UPI technologies
Practice explaining your thought process clearly
For detailed interview experiences from 2025, visit PhonePe Interview Experience page.
Master Coding Fundamentals : Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
UPI/Payment Expertise : Strong understanding of UPI, AI-powered payment processing, cloud-native payment systems
Practice Previous Year Papers : Solve PhonePe 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, UPI, transactions, AI/ML in fintech
System Design Mastery : Learn AI-powered UPI system design, payment processing, transaction systems, security, cloud-native architecture
Security Knowledge : Understand security best practices for payment systems, UPI, 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 UPI and payment processing
PhonePe 2024 Papers
Previous year PhonePe placement papers with questions and solutions
View 2024 Papers →
PhonePe Coding Questions
Complete collection of PhonePe coding problems with solutions
View Coding Questions →
PhonePe Interview Experience
Real interview experiences from successful candidates
Read Experiences →
PhonePe Preparation Guide
Comprehensive preparation strategy for PhonePe placement
View Preparation Guide →
PhonePe Main Page
Complete PhonePe placement guide with eligibility, process, and salary
View Main Page →
Practice 2025 papers to stay updated with latest patterns and prepare effectively!