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REQUIREMENT_ID_1737 β€’ 3-DAY_ACTIVE_POLICY

Customer Service executive/Sr executive

Company
Company Payu
Type
Opportunity Type Internship
Salary
Stipend / Salary 3.5 LPA
Location
Location Mumbai
Posted Date
Posted Date Yesterday
Customer Service CRM Excel (Pivot tables VLOOKUP HLOOKUP) Analytical Skills Communication Financial Services Knowledge
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Aptitude Practice Questions Open Resource β†—
Curated aptitude problems to sharpen quantitative and logical reasoning needed for the PayU screening test.
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Company Interview Preparation Guide Open Resource β†—
Insights and sample questions that help candidates prepare for PayU's interview rounds and understand the fintech domain.
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Interview Preparation Portal Open Resource β†—
Comprehensive resources covering interview strategies, resume building, and mock interviews for roles at PayU.
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Coding Problem Set Open Resource β†—
A collection of algorithmic problems to practice logical thinking and problem‑solving, useful for technical assessments.

Graduation (any discipline) with minimum 60% aggregate; preferably from 2023‑2025 batch; no active backlogs; strong communication skills in English and Hindi; basic understanding of financial services and loan products is a plus.

1
Round 1: Aptitude Test
2
Round 2: Technical/Functional Interview
3
Round 3: HR Interview
PayU is a leading global fintech company that provides payment technology and services to merchants and consumers across more than 50 countries. Headquartered in the Netherlands, PayU has a strong presence in India, where it powers digital payments for e‑commerce platforms, financial institutions, and offline merchants. The company prides itself on a culture of innovation, data‑driven decision making, and a relentless focus on customer experience. Employees enjoy exposure to cutting‑edge payment solutions, a collaborative environment, and opportunities to work on high‑impact projects that shape the future of digital commerce. In the Mumbai office, the Customer Service executive/Sr executive role is a critical front‑line position that ensures PayU’s customers receive timely, accurate, and courteous support. The role sits at the intersection of operations, product, and finance, handling queries related to loan products, payment issues, and general service requests. The incumbent will work closely with internal teams such as Product, Risk, and Finance to resolve cases within the defined Service Level Agreements (SLAs). Key Responsibilities: 1. Respond to customer complaints, requests, and queries promptly while adhering to SLA targets. 2. Track and manage cases in the CRM system, ensuring all interactions are logged accurately. 3. Coordinate with internal stakeholders (product, risk, finance) to obtain required information and drive case resolution. 4. Perform root‑cause analysis on recurring issues and suggest process improvements. 5. Generate daily and weekly reports using Excel, employing pivot tables, VLOOKUP, and HLOOKUP for data consolidation. 6. Conduct follow‑ups with customers to confirm issue closure and gather feedback. 7. Identify opportunities to cross‑sell or upsell PayU’s financial products where appropriate. 8. Maintain up‑to‑date knowledge of PayU’s loan offerings, payment gateways, and regulatory guidelines. 9. Participate in regular training sessions to enhance product knowledge and soft‑skill capabilities. 10. Contribute to knowledge‑base articles and FAQs to improve self‑service options for customers. Tech Stack & Tools: CRM platform (e.g., Salesforce or custom PayU CRM), Microsoft Excel (advanced functions), basic knowledge of payment gateways, and familiarity with loan management systems. Growth Path: Starting as a Customer Service Executive, high performers can progress to Senior Executive, Team Lead, Operations Manager, and eventually into specialized roles such as Product Analyst or Risk Analyst. The role offers exposure to fintech operations, making it a solid foundation for a long‑term career in financial services. Why Join PayU? PayU offers a vibrant work culture that encourages learning, mentorship, and rapid career progression. Employees benefit from competitive compensation, performance‑linked incentives, and a comprehensive benefits package. Being part of a global fintech leader provides the chance to work on innovative payment solutions that impact millions of users daily.

Payu β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Payu Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Payu and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Customer Service, CRM, Excel (Pivot tables, VLOOKUP, HLOOKUP), Analytical Skills, Communication, Financial Services Knowledge) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Payu Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Payu as a Customer Service executive/Sr executive?
Preparation Tip: Highlight Payu's market reputation, recent tech innovations, and how your skills in Customer Service directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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