Type · algorithmic
Implement a function that takes a list of stock prices over time and identifies the best time to buy and sell to maximize profit. You can only perform one buy and one sell transaction.
How to Pass the Swan Software Engineer Interview in 2026
The Swan DNA (TL;DR)
The bar-raiser round at Swan specifically grades a candidate's deep comprehension of financial infrastructure and their strategic vision for the Future of Embedded Banking. They seek individuals who can clearly articulate complex solutions and demonstrate alignment with Swan's innovative mission.
The Swan Interview Loop
Your onsite loop will typically consist of 5 rounds.
- 1
Round 1
Recruiter ScreenMotivation, role fit, logistics. - 2
Round 2
Coding ScreenLeetCode-medium algorithmic problems under time pressure. - 3
Round 3
System DesignDistributed systems, trade-offs at scale, architecture under constraints. - 4
Round 4
Onsite CodingLeetCode-hard, debugging, code clarity, edge cases. - 5
Round 5
Behavioral / LeadershipPast evidence of ownership, influence, resolving conflict.
The Danger Zone: Top Reasons Candidates Fail
Based on our database of Swan interview outcomes, avoid these common traps:
- Failing to connect their skills to concrete contributions or growth initiatives.
- Not demonstrating empathy or a collaborative approach.
- Overcomplicating the data structure without clear justification.
- Ignoring the need for auditing and logging of conversion transactions.
Test Yourself: Real Swan Questions
Three real prompts pulled from our database.
Type · system-design
Design a system to detect fraudulent transactions in real-time for Swan. Consider the scale, latency requirements, and potential data sources.
Type · collaboration
Describe a situation where you had a technical disagreement with a colleague or team lead regarding an implementation detail or architectural choice. How did you approach the discussion, and what was the outcome?
+ many more questions, signals, and worked examples
Sign up to unlock the full Swan grading rubric
Swan Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 16 questions shown
1
Recruiter Screen
1- 1
Type · motivation
What interests you specifically about Swan's mission in the fintech space, and how do you see your skills contributing to our growth?
2
Coding Screen
3- 2
Type · algorithmic
Given a list of bank transactions, each with a timestamp, amount, and category (e.g., 'groceries', 'salary', 'rent'), write a function to calculate the user's average daily spending for a given month, excluding salary transactions. - 3
Type · algorithmic
Implement a function that takes a list of stock prices over time and identifies the best time to buy and sell to maximize profit. You can only perform one buy and one sell transaction. - + 1 more questions in this round (sign up to unlock)
3
System Design
3- 4
Type · system-design
Design a system to detect fraudulent transactions in real-time for Swan. Consider the scale, latency requirements, and potential data sources. - 5
Type · system-design
How would you design a system to handle currency conversion for international payments at Swan? Discuss accuracy, performance, and how to manage exchange rate fluctuations. - + 1 more questions in this round (sign up to unlock)
4
Onsite Coding
3- 6
Type · debugging
Here is a piece of code that processes user payment data. It's supposed to aggregate spending by category for the current month, but it's producing incorrect results. Find and fix the bugs. - 7
Type · algorithmic
Implement a function to determine if a given sequence of financial transactions represents a valid cash flow, considering rules like 'a withdrawal cannot exceed the available balance' and 'all transactions must be processed chronologically'. - + 1 more questions in this round (sign up to unlock)
5
Behavioral / Leadership
6- 8
Type · ownership
Tell me about a time you encountered a significant technical challenge or bug in a production system that was impacting users. What steps did you take to diagnose, fix, and prevent recurrence? - 9
Type · collaboration
Describe a situation where you had a technical disagreement with a colleague or team lead regarding an implementation detail or architectural choice. How did you approach the discussion, and what was the outcome? - + 4 more questions in this round (sign up to unlock)
Unlock all 16 Swan questions, free
No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.
Interview tracks at Swan
How Swan's DNA translates across functions. Pick your role.
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Practice Swan interviews end-to-end
Swan Mock Interview
Run a live mock interview with our AI interviewer using Swan-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Swan Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Swan interviewers grade on. Reuse them across every behavioral round.
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Swan Interview Prep Hub
The frameworks behind every Swan round: CIRCLES for product sense, hypothesis-driven debugging for analytical, STAR for behavioral. Learn each one in 10 minutes.
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Interview Frameworks
CIRCLES, STAR, AARRR, RICE, MECE. The exact frameworks that make Swan interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.
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Sample answers
What a strong answer to these Swan interview questions shows.
Implement a function that takes a list of stock prices over time and identifies the best time to buy and sell to maximize profit. You can only perform one buy and one sell transaction.
A strong answer shows: Optimal time complexity (O(n)).; Correctly identifies buy and sell points.; Handles cases where no profit can be made..
Design a system to detect fraudulent transactions in real-time for Swan. Consider the scale, latency requirements, and potential data sources.
A strong answer shows: Addresses real-time processing and low latency.; Proposes a scalable architecture (e.g., microservices, message queues).; Discusses different fraud detection strategies (rules, ML)..
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