Banking Operation Analyst
NTT DATA Services
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 endβtoβend solutions ranging from IT consulting and digital transformation to enterprise technology and business process operations. With a culture that emphasizes continuous learning, innovation, and clientβcentric 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 creditβcard 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 lawβenforcement agencies to safeguard the financial ecosystem.
Key Responsibilities
- Analyze and process fraud and dispute cases using the TDR case management system, ensuring serviceβlevel targets are met.
- Manage the endβtoβend 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 upβtoβdate 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 crossβfunctional teams to implement process improvements and handle escalations.
- Support lawβenforcement 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 DATAβs Code of Conduct.
Technical Stack & Tools: TDR case management system, TS2 (preferred), Microsoft Office Suite (Excel, Word, PowerPoint), PC keyboarding, and basic dataβanalysis 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 creditβcard operations, a collaborative multicultural environment, and opportunities to work on highβimpact financial investigations. Employees benefit from structured learning programs, mentorship, and a competitive compensation package that reflects experience and performance.
Eligibility & process
Who can apply
Bachelorβs degree in Finance, Business Administration, Economics, or related field; minimum 60% aggregate; graduates of 2022β2026 batches; no active backlogs; proficiency in French (reading, writing, speaking) and English; 1β4 years of relevant creditβcard or financial services experience.
Skills & stack
Selection process
- Round 1: Online aptitude test (quantitative, logical reasoning, English)
- Round 2: Technical interview (domain knowledge, case studies, French proficiency)
- Round 3: HR interview (behavioral fit, motivation, salary expectations)
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight NTT DATA Services's market reputation, recent tech innovations, and how your skills in Credit Card Operations directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.