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Design a banking system with payments and merging

Last updated: Mar 29, 2026

Quick Overview

This question evaluates competency in large-scale system design for financial backends, covering distributed transactions, consistency and idempotency, ledger and data modeling, scheduling and event processing, auditing, and entity merging.

  • medium
  • Ramp
  • System Design
  • Software Engineer

Design a banking system with payments and merging

Company: Ramp

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Take-home Project

## Design a banking system (progressive requirements) Design the backend for a simplified banking system that supports accounts, money movement, scheduled payments, cashback, ranking, and account merging. ### Core requirements 1. **Accounts & ledger** - Create accounts and store balances. - Record all transactions with an auditable history (do not lose history). 2. **Rank accounts by outgoing transactions** - Support querying a ranking/leaderboard of accounts based on **outgoing** transaction volume (e.g., total outgoing amount). - Clarify whether ranking is over *all time* or a *time window* (assume a configurable window such as last day/week/month). 3. **Scheduled payments with cashback + status tracking** - Users can schedule a payment to execute in the future. - Each scheduled payment has a **status** that can be queried. - Payments may provide **cashback** (e.g., a percentage of the outgoing amount) credited after the payment is executed. 4. **Merge two accounts** - Support merging two accounts while retaining **both balances** and **both transaction histories** for audit. - After merge, define how future transactions behave (assume: future activity goes to a “merged” view, while original accounts remain queryable/read-only for history). ### Non-functional requirements (state assumptions) - Correctness and consistency are critical (no double-spend). - Idempotency for payment execution. - Handle concurrent transfers and scheduled executions. - Scale to millions of accounts and high transaction throughput. ### What to produce - High-level architecture and key services. - Data model (tables/entities) and critical fields. - API sketches for: transfers, scheduled payments, status checks, ranking query, merge. - Consistency approach and failure handling (retries, idempotency, reconciliation). - How ranking and cashback are computed efficiently at scale.

Quick Answer: This question evaluates competency in large-scale system design for financial backends, covering distributed transactions, consistency and idempotency, ledger and data modeling, scheduling and event processing, auditing, and entity merging.

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Ramp
Jan 22, 2026, 12:00 AM
Software Engineer
Take-home Project
System Design
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Design a banking system (progressive requirements)

Design the backend for a simplified banking system that supports accounts, money movement, scheduled payments, cashback, ranking, and account merging.

Core requirements

  1. Accounts & ledger
    • Create accounts and store balances.
    • Record all transactions with an auditable history (do not lose history).
  2. Rank accounts by outgoing transactions
    • Support querying a ranking/leaderboard of accounts based on outgoing transaction volume (e.g., total outgoing amount).
    • Clarify whether ranking is over all time or a time window (assume a configurable window such as last day/week/month).
  3. Scheduled payments with cashback + status tracking
    • Users can schedule a payment to execute in the future.
    • Each scheduled payment has a status that can be queried.
    • Payments may provide cashback (e.g., a percentage of the outgoing amount) credited after the payment is executed.
  4. Merge two accounts
    • Support merging two accounts while retaining both balances and both transaction histories for audit.
    • After merge, define how future transactions behave (assume: future activity goes to a “merged” view, while original accounts remain queryable/read-only for history).

Non-functional requirements (state assumptions)

  • Correctness and consistency are critical (no double-spend).
  • Idempotency for payment execution.
  • Handle concurrent transfers and scheduled executions.
  • Scale to millions of accounts and high transaction throughput.

What to produce

  • High-level architecture and key services.
  • Data model (tables/entities) and critical fields.
  • API sketches for: transfers, scheduled payments, status checks, ranking query, merge.
  • Consistency approach and failure handling (retries, idempotency, reconciliation).
  • How ranking and cashback are computed efficiently at scale.

Solution

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