KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
JD #2384
Applications open Internship

Banking Operation Analyst

NTT DATA Services

  • Gurgaon, Haryana
  • 4-6 LPA
  • 4 Years
  • Posted Yesterday
HR
Recruiter contact
Recruiter / hiring contact
No public email in this post. Use a source-linked contact instead.

About the role

NTT DATA Services is a global leader in business and technology services, operating in more than 50 countries with a strong footprint in India. The company offers end‑to‑end solutions ranging from IT consulting and digital transformation to enterprise technology and business process operations. With a culture that emphasizes continuous learning, innovation, and client‑centric delivery, NTT DATA has consistently been recognized for its inclusive work environment and robust career growth pathways for fresh graduates and experienced professionals alike.

The Banking Operation Analyst role sits within the Credit Card Operations department, specifically the Joint Recovery Processing / Chargeback Analyst team. Reporting to the Supervisor of Joint Recovery Processing, the analyst will be responsible for handling fraud investigations, dispute resolution, and the full chargeback lifecycle for credit‑card transactions. The position demands a blend of analytical rigor, knowledge of card association rules, and strong communication skills in both French and English.

Working on a rotational evening shift, the analyst will collaborate closely with internal stakeholders, merchants, and law‑enforcement agencies to safeguard the financial ecosystem.

Key Responsibilities

  • Analyze and process fraud and dispute cases using the TDR case management system, ensuring service‑level targets are met.
  • Manage the end‑to‑end chargeback process across first, second, and third cycles, including retrieval requests and merchant representments.
  • Conduct proactive fraud investigations, identify emerging trends, and prepare detailed reports for senior management.
  • Maintain up‑to‑date knowledge of card association regulations and PCI compliance standards.
  • Communicate effectively with cardholders to verify transactions and gather supporting documentation.
  • Mentor new hires on chargeback procedures, system navigation, and best practices.
  • Collaborate with cross‑functional teams to implement process improvements and handle escalations.
  • Support law‑enforcement agencies when required and ensure accurate case documentation.
  • Participate in regular team meetings, coaching sessions, and performance reviews.
  • Contribute to departmental quality initiatives and adhere to NTT DATA’s Code of Conduct.

Technical Stack & Tools: TDR case management system, TS2 (preferred), Microsoft Office Suite (Excel, Word, PowerPoint), PC keyboarding, and basic data‑analysis tools.

Growth Path: Analysts can progress to Senior Analyst, Team Lead, and eventually to Operations Manager or specialized roles in Risk Management and Compliance. NTT DATA encourages certifications in PCI DSS, fraud analytics, and language proficiency, providing a clear roadmap for professional advancement.

Why Join NTT DATA? The company offers exposure to global best practices in credit‑card operations, a collaborative multicultural environment, and opportunities to work on high‑impact financial investigations. Employees benefit from structured learning programs, mentorship, and a competitive compensation package that reflects experience and performance.

Eligibility & process

Who can apply

Bachelor’s degree in Finance, Business Administration, Economics, or related field; minimum 60% aggregate; graduates of 2022‑2026 batches; no active backlogs; proficiency in French (reading, writing, speaking) and English; 1‑4 years of relevant credit‑card or financial services experience.

Skills & stack

Credit Card Operations Chargeback Processing Fraud Investigation French Language English Communication Ms Excel Ms Word Ms Powerpoint

Selection process

  1. Round 1: Online aptitude test (quantitative, logical reasoning, English)
  2. Round 2: Technical interview (domain knowledge, case studies, French proficiency)
  3. Round 3: HR interview (behavioral fit, motivation, salary expectations)

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
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 (Credit Card Operations, Chargeback Processing, Fraud Investigation, French Language, English Communication, Ms Excel, Ms Word, Ms Powerpoint) & 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 NTT DATA Services Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
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
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
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
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
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.
Behavioural & HR questions 3
Why do you want to join NTT DATA Services as a Banking Operation Analyst?
Highlight NTT DATA Services's market reputation, recent tech innovations, and how your skills in Credit Card Operations directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
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?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
NTT DATA Services 4-6 LPA
Recruiter Resume Apply
Chat Chat with Kashii