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S #2621
Applications open Full-Time Job

Senior Associate - Banking Operations

Zeta

  • Bengaluru, India
  • Not disclosed
  • 3 - 6 Years
  • Posted Yesterday
HR
Recruiter contact
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About the role

About Zeta

Build the future of banking.

Zeta is a next-generation banking technology company providing cloud-native, fully stackable processing and core banking platforms for issuers. With a focus on scalability, compliance, and innovation, Zeta empowers financial institutions to modernize their technology infrastructure and deliver secure, seamless digital banking experiences.

Our impact runs at real-world scale. Today, over 25 million cards are live on Zeta-powered platforms across 7 countries, supported by a passionate team of 1,700+ Zetanauts across India, the US, EMEA, and Asia. Backed by SoftBank Vision Fund, Mastercard, and other reputed strategic investors, we reached a valuation of $2 billion in 2025

Our focus is on establishing product lines that focus on key outcomes by addressing real customer pain points, modernizing legacy systems, and strengthening core fundamentals. As a result, our systems and platforms support a wide range of banking and payments capabilities, including:

Tachyon, our cloud-native banking stack built for population-scale systems

About the Role

We are seeking a detail-oriented Reconciliation Specialist to manage and ensure accurate reconciliation of prepaid wallet transactions. The ideal candidate will be responsible for tracking, reviewing, and resolving discrepancies in transactions, while working closely with internal and external teams to ensure smooth operations and compliance with industry standards.

Responsibilities

  • Conduct daily, weekly, and monthly reconciliation of prepaid wallet transactions including credits, debits, and cashback.
  • Review transaction reports and statements to identify discrepancies between internal systems and external bank/partner statements.
  • Investigate and resolve reconciliation discrepancies by coordinating with relevant teams (Operations, IT, and partners).
  • Ensure that all reconciliations are completed in a timely manner and meet compliance and audit requirements.
  • Monitor prepaid wallet balances and ensure accuracy in records and reports.
  • Collaborate with technical teams to improve reconciliation processes and system performance.
  • Manage and reconcile chargebacks, refunds, and failed transactions.
  • Prepare reports on reconciliation status and escalate unresolved issues as needed.
  • Prepare Monthly & Quarterly Regulatory Reports with accuracy & ensure submission within defined timeline.
  • Monitor daily control checks and review any observations.
  • Assist in the development and improvement of daily processes and controls to enhance efficiency and accuracy.
  • Manage customer disputes and all the subsequent dispute lifecycle journey.

Skills

  • Candidate should have strong knowledge in Excel (Advance Excel will be preferable)
  • Experience working in the Bank, NBFC, Fintech or Digital Payments Industry.
  • Knowledge of Banking Operations, Payment Systems, Fast / Digital Payments, or Wallet.
  • Proven experience in reconciliation, preferably in digital payments / wallet, fintech, or banking environment.
  • Strong analytical skills with an eye for detail and accuracy.
  • Proficiency in using reconciliation tools and software, including Excel and other financial systems.
  • Familiarity with prepaid wallet systems, payment gateways and transaction flows.
  • Ability to work with large data sets and identify trends or anomalies.
  • Excellent communication and collaboration skills for working across teams.
  • Strong problem-solving skills with the ability to handle complex reconciliation issues.

Experience and Qualifications

  • 3 - 6 years of experience in a Bank / NBFC / Fintech / Digital Payments Industry.
  • Bachelor's or master's degree in finance, Accounting, or a related field.

Equal Opportunity

Zeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds, cultures, and communities to apply and believe that a diverse workforce is key to our success.

Eligibility & process

Who can apply

• 3 - 6 years of experience in a Bank / NBFC / Fintech / Digital Payments Industry. • Bachelor's or master's degree in finance, Accounting, or a related field.

Skills & stack

Next.js Advanced Excel Operations Management Project Coordination Reporting

Selection process

  1. As described in the employer's job posting.

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 (Next.js, Advanced Excel, Operations Management, Project Coordination, Reporting) & 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 Zeta 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 Zeta as a Senior Associate - Banking Operations?
Highlight Zeta's market reputation, recent tech innovations, and how your skills in Next.js 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.
Zeta Not disclosed
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