KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
REQUIREMENT_ID_1811 β€’ 3-DAY_ACTIVE_POLICY

Analyst – Forensics – National ASU – Investigations & Compliance

Company
Company EY (Ernst & Young)
Type
Opportunity Type Internship
Salary
Stipend / Salary 5-6 LPA
Location
Location Noida, Uttar Pradesh, India
Posted Date
Posted Date Today
Document verification verbal communication attention to detail analytical thinking MS Office proficiency basic knowledge of compliance regulations time management teamwork data entry accuracy
πŸ“–
Aptitude Practice Questions Open Resource β†—
Curated set of quantitative, logical and verbal questions to help you ace the online assessment for EY analyst roles.
πŸ“–
Forensics & Compliance Interview Prep Open Resource β†—
Topic‑wise notes and sample questions covering background verification, compliance processes and investigative thinking useful for EY interviews.
πŸ“–
General Placement Preparation Guide Open Resource β†—
Comprehensive guide covering resume building, interview etiquette and soft‑skill development for fresh graduates targeting EY and similar firms.
πŸ“–
Algorithm & Data Structure Problems Open Resource β†—
Practice platform for coding and problem‑solving skills that may be tested in technical rounds of EY recruitment.

Eligible degrees: Bachelor of Commerce (B.Com), Bachelor of Arts in English Literature (BA), Bachelor of Business Administration (BBA), Bachelor of Computer Applications (BCA). Minimum aggregate: 60% (or equivalent CGPA). No active backlogs at the time of application. Graduation batch 2025‑2026 (or later) considered. Indian citizenship or eligibility to work in India required.

1
Round 1: Online aptitude test (logical reasoning, quantitative, verbal)
2
Round 2: Technical/Domain interview focusing on BGV processes, communication skills and scenario‑based questions
3
Round 3: HR interview assessing cultural fit, motivation and career aspirations
Ernst & Young (EY) is one of the world’s leading professional services firms, offering assurance, tax, advisory and transaction services to a diverse set of global clients. With a strong presence in India, EY is known for its commitment to building a better working world through innovation, sustainability and inclusive growth. The firm invests heavily in learning platforms, mentorship programmes and global mobility, enabling fresh talent to acquire industry‑leading skills early in their careers. The Analyst role in the National Forensics – ASU, Investigations & Compliance team is based in Noida and focuses on background verification (BGV) operations. As an entry‑level professional, you will be the first line of defence ensuring that candidate information is accurate, authentic and compliant with regulatory standards. The position blends administrative precision with client‑facing communication, offering a solid foundation for a career in forensic services, risk management or broader advisory functions. Key Responsibilities: 1. Review and validate documents submitted for background verification, checking for completeness, authenticity and compliance. 2. Conduct outbound calls to candidates to gather missing information, clarify discrepancies and provide status updates. 3. Cross‑check educational, employment and identity records against internal checklists and client requirements. 4. Follow established investigation and compliance processes, escalating any red flags to senior analysts. 5. Maintain detailed logs of verification activities, ensuring traceability and audit readiness. 6. Coordinate with internal teams and external verification agencies to expedite pending checks. 7. Prepare daily and weekly reports on verification turnaround times and issue trends. 8. Support continuous improvement initiatives by suggesting process enhancements based on observed bottlenecks. 9. Adhere to data privacy and confidentiality norms while handling sensitive personal information. 10. Participate in training sessions on forensic tools, compliance regulations and communication best practices. The role does not demand a specific technical stack but expects proficiency in MS Office (Excel, Word, PowerPoint), familiarity with document management systems and basic knowledge of data privacy regulations (e.g., GDPR, Indian IT Act). EY provides structured learning pathways, allowing analysts to upskill in forensic analytics, risk assessment and client advisory. Over time, high‑performing analysts can progress to Senior Analyst, Team Lead, and eventually Manager positions within the Forensics practice, with opportunities to rotate across audit, advisory or tax domains. Why join EY? Apart from a competitive salary, EY offers a vibrant work culture that encourages continuous learning, mentorship from industry experts and exposure to global best practices. Freshers get a clear career roadmap, access to EY’s digital learning hub, and the chance to work on projects that impact real‑world business decisions. This role is ideal for candidates who are detail‑oriented, possess strong communication skills and are eager to start a career in a globally respected professional services firm.

EY (Ernst & Young) 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 🎯
EY (Ernst & Young) Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for EY (Ernst & Young) 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 (Document verification, verbal communication, attention to detail, analytical thinking, MS Office proficiency, basic knowledge of compliance regulations, time management, teamwork, data entry accuracy) & 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
EY (Ernst & Young) 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 EY (Ernst & Young) as a Analyst – Forensics – National ASU – Investigations & Compliance?
Preparation Tip: Highlight EY (Ernst & Young)'s market reputation, recent tech innovations, and how your skills in Document verification 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.

More Fresh Requirements in Non IT

View Category Feed β†—
EY (Ernst & Young)
Analyst – Forensics – National ASU – Investigations & Compliance
Apply Apply Now β†—
Chat Chat with Kashii