Senior Software Engineer, Treasury and Reference Data (Java/Ruby/Python)
Posted Sep 2, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
The UP team expects engineers to understand the business deeply. How would you learn what treasury and reference data teams need?
What they are checking: Curiosity and initiative to understand business users, which the posting stresses.
Tell me about a time you had autonomy to choose how to solve a business problem.
What they are checking: How they use autonomy responsibly, which the posting says developers have here.
What would you do
You're given a high-level requirement with few details. How do you turn it into something you can build?
What they are checking: Ability to work from vague requirements, which the posting describes directly.
A wrong reference data value caused a downstream error. How do you fix it and prevent it next time?
What they are checking: Root cause thinking and controls that protect many dependent systems.
How do you work with operations users who find a bug at the end of the day?
What they are checking: Responsiveness and communication with business users under time pressure.
About the work
How would you design a reference data system that many trading and operations systems depend on?
What they are checking: Thinking about data ownership, versioning and change propagation for critical shared data.
What does a treasury team at a trading firm need from software, in your understanding?
What they are checking: Basic grasp of cash, funding, margin and collateral and how software supports them.
The role uses Java, Ruby and Python. How do you decide which language fits a problem?
What they are checking: Practical judgment about language tradeoffs in a polyglot environment.
How do you keep historical reference data accurate so past reports can be reproduced?
What they are checking: Understanding of bitemporal or point-in-time data, which matters for audits and research.
What makes a platform speed up time to market for new ideas rather than slow it down?
What they are checking: Platform thinking aligned with the UP team's goal of accelerating new business.
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As published by DRW.