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REQUIREMENT_ID_100 β€’ 3-DAY_ACTIVE_POLICY

Process Executive (Fresher) - Gurgaon

Company
Company Cognizant
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή4.5 LPA
Location
Location Gurgaon, India
Posted Date
Posted Date Today
Basic accounting Accounts Payable Accounts Receivable MS Office Typing Verbal communication Written communication Attention to detail Problem solving Visual Basic Macro scripting
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Aptitude Practice Questions Open Resource β†—
Curated quantitative, logical and verbal questions to help you ace the online assessment for Cognizant.
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Cognizant Recruitment Process Insights Open Resource β†—
Detailed walkthrough of Cognizant's hiring stages, useful for preparing each interview round.
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Cognizant Interview Preparation Guide Open Resource β†—
Tips, sample questions and experiences shared by candidates who cleared Cognizant interviews.
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Algorithm & Data Structure Problem Set Open Resource β†—
Practice coding problems to sharpen problem‑solving skills useful for technical assessments.

Degree: B.Com, M.Com or MBA (Fresher only). Minimum aggregate: 60% (or equivalent CGPA). Batch: 2025‑2027. No active backlogs at the time of joining. Must be willing to work US night shift and take additional responsibilities.

1
Round 1: Online aptitude test (quantitative, logical reasoning, English)
2
Round 2: Technical interview (accounting concepts, MS Excel, scenario‑based questions)
3
Round 3: HR interview (fitment, communication, shift availability).
Cognizant is a global leader in digital, technology, consulting and operations services. With a presence in over 40 countries, the company helps enterprises transform their business models by leveraging AI, cloud, analytics and automation. Cognizant’s culture is built around continuous learning, collaborative problem‑solving and a strong emphasis on employee growth. The firm consistently ranks among the top employers in India for its inclusive policies, flexible work arrangements and robust learning platforms. The Process Executive (PE) – Accounting role is an entry‑level opportunity designed for fresh graduates who want to start their career in finance and accounting within a technology‑driven environment. As a PE, you will be part of Cognizant’s Finance & Accounting (F&A) delivery team, handling end‑to‑end invoice processing, payment execution and period‑close activities for global clients. The position offers exposure to industry‑standard accounting tools, automation platforms and the chance to work across multiple time zones, including US night shifts. **Key Responsibilities** 1. Capture and process client invoices in the designated application. 2. Verify invoice details for accuracy, tax compliance and contractual terms. 3. Identify, investigate and resolve unprocessable or parked invoices. 4. Ensure high quality and error‑free output through systematic checks. 5. Execute payment runs as per client schedules and guidelines. 6. Perform period‑close reconciliation and support month‑end reporting. 7. Maintain documentation and audit trails for all transactions. 8. Participate in continuous improvement initiatives, suggesting automation or workflow enhancements. 9. Assist senior analysts with ad‑hoc financial analysis and reporting. 10. Adhere to shift timings, including US night shift, and take on additional responsibilities as required. **Tech Stack & Tools**: Basic accounting principles, Accounts Payable/Receivable concepts, MS Office (Excel, Word, PowerPoint), familiarity with Visual Basic or macro scripting is a plus, and exposure to enterprise accounting software (e.g., SAP, Oracle) is beneficial. **Growth Path**: Successful PEs can progress to Analyst, Senior Analyst, and eventually to Finance Consultant or Manager roles, with opportunities to specialize in automation, data analytics, or client relationship management. Cognizant’s internal learning portals and certification programs support rapid skill acquisition. **Why Join Cognizant?**: The company offers a structured onboarding program, mentorship from experienced finance professionals, and a clear career ladder. Freshers gain hands‑on experience with global clients, develop a strong foundation in accounting processes, and benefit from a supportive, inclusive work environment that values innovation and work‑life balance.

Cognizant β€” AI & Machine Learning 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 🎯
Cognizant Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Cognizant 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 (Basic accounting, Accounts Payable, Accounts Receivable, MS Office, Typing, Verbal communication, Written communication, Attention to detail, Problem solving, Visual Basic, Macro scripting) & 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
Cognizant Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Cognizant as a Process Executive (Fresher) - Gurgaon?
Preparation Tip: Highlight Cognizant's market reputation, recent tech innovations, and how your skills in Basic accounting 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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