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REQUIREMENT_ID_1756 β€’ 3-DAY_ACTIVE_POLICY

Analyst

Company
Company KPMG
Type
Opportunity Type Internship
Salary
Stipend / Salary 5 LPA
Location
Location India
Posted Date
Posted Date Today
KYC Data Analysis Excel SQL Oracle Database Attention to Detail Communication Regulatory Knowledge Time Management
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Placement Papers for Oracle Open Resource β†—
Provides previous year question papers and solutions to help candidates understand the exam pattern and difficulty level for Oracle roles.
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Interview Experiences for Oracle Recruitment Open Resource β†—
Shares real candidate experiences, covering interview rounds, questions asked, and preparation tips specific to Oracle hiring.
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Preparation Guide for Oracle Interviews Open Resource β†—
Offers a curated set of topics, sample questions, and study strategies to ace Oracle interview assessments.
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Algorithm Practice Problems Open Resource β†—
A collection of coding problems to sharpen problem‑solving skills, useful for technical assessments in Oracle recruitment.

Bachelor's degree in any discipline (Commerce, Finance, Business, Engineering, etc.) with a minimum of 60% aggregate. Fresh graduates of the 2024 or 2025 batch are preferred. No active backlogs at the time of joining. Strong analytical aptitude and good communication skills are essential.

1
Round 1: Online Aptitude Test
2
Round 2: Technical Interview (KYC & Data Handling)
3
Round 3: HR Interview
Oracle is a global technology leader with a strong foothold in India, especially in Noida where it operates multiple development and support centers. The company offers a wide portfolio of cloud services, database solutions, and enterprise applications, serving customers across banking, finance, telecom, and many other sectors. Known for its culture of innovation, Oracle invests heavily in employee learning, providing access to cutting‑edge tools, certifications, and mentorship programs. The work environment encourages collaboration, diversity, and a balanced approach to professional and personal growth. The Analyst role is positioned within Oracle's compliance and risk management team, focusing on Know Your Customer (KYC) processes for banking and financial clients. As an Analyst, you will be the first line of defense in ensuring that client data meets regulatory standards, thereby protecting both the client and Oracle from compliance breaches. You will work closely with senior analysts, quality approvers, and client stakeholders to deliver accurate, timely, and high‑quality reviews. Key responsibilities include: 1. Conduct periodic KYC reviews in line with client policies and regulatory guidelines. 2. Source data from multiple internal and external systems and accurately transfer it to the primary Oracle platform. 3. Verify the authenticity of documents, perform risk scoring, and flag any discrepancies. 4. Manage your own case pipeline, ensuring targets for productivity and quality are consistently met. 5. Incorporate feedback from quality approvers to continuously improve case handling. 6. Maintain detailed audit trails and documentation for each review. 7. Collaborate with cross‑functional teams to resolve data gaps and process bottlenecks. 8. Participate in regular training sessions on evolving KYC regulations and Oracle tools. 9. Generate periodic reports on review outcomes, trends, and compliance metrics. 10. Assist in process improvement initiatives and automation projects. The tech stack for this role typically includes Oracle Cloud applications, SQL for data extraction, advanced Excel, and basic scripting for data validation. Familiarity with KYC regulatory frameworks (e.g., RBI, FATF) and document verification tools is advantageous. Career growth for an Analyst at Oracle is well‑defined. High performers can progress to Senior Analyst, then to Team Lead, and eventually to Manager or Specialist roles within the compliance domain. The exposure to global best practices and the opportunity to work on large‑scale financial data sets make this position an excellent springboard for a long‑term career in risk management or data analytics. Why join Oracle? You will be part of a world‑renowned technology brand that values continuous learning, offers competitive compensation, and provides a supportive environment for fresh talent. The role offers hands‑on experience with industry‑critical compliance processes, access to state‑of‑the‑art tools, and a clear pathway for professional advancement.

KPMG 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 🎯
KPMG Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for KPMG 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 (KYC, Data Analysis, Excel, SQL, Oracle Database, Attention to Detail, Communication, Regulatory Knowledge, Time Management) & 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
KPMG 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 KPMG as a Analyst?
Preparation Tip: Highlight KPMG's market reputation, recent tech innovations, and how your skills in KYC 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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