Senior Quantitative Developer
Posted Sep 28, 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
Tell me about a custom analysis you built for an investment team. How did you figure out what they really needed?
What they are checking: Whether they ask good questions to turn a vague request into a useful tool.
Tell me about a time you automated a manual process that people relied on. How did you roll it out?
What they are checking: Whether they validate automation against the old process and help users trust the change.
What would you do
A portfolio manager says a number in their report looks wrong. How do you track down the problem?
What they are checking: Whether they can trace data lineage calmly and fix the root cause, not just the one number.
You have requests from Portfolio Management, Operations and Analysts all due this week. How do you decide what comes first?
What they are checking: Whether they weigh business impact and deadlines and communicate tradeoffs openly.
How do you explain a technical limitation to a portfolio manager who wants something built by tomorrow?
What they are checking: Whether they can set realistic expectations while still offering a useful near-term option.
About the work
Walk me through an ETL pipeline you built that pulled data from several sources into a warehouse. How did you handle normalization?
What they are checking: Whether they have designed reliable pipelines that make messy data consistent and usable for analysis.
How do you make sure a pipeline fails loudly instead of silently loading bad data?
What they are checking: Whether they build validation, alerts and checks so bad data never quietly reaches a portfolio decision.
How would you design a table to store daily holdings and returns for hundreds of portfolios so it stays fast to query?
What they are checking: Whether they think about keys, partitioning and query patterns for time series investment data.
What Python and SQL practices do you follow to keep analytical code maintainable for the next person?
What they are checking: Whether they write code others can read, test and run, not just code that works today.
How would you compute portfolio level attribution or risk numbers, and what pitfalls would you watch for?
What they are checking: Whether they understand the finance behind the code well enough to catch wrong results.
How do you handle corporate actions, missing prices or late data in your pipelines?
What they are checking: Whether they know the common data edge cases in investment work and handle them deliberately.
Practice this interview out loud.
Offer builds a real interview for this exact role at Invesco from your resume and this job description, asks the questions one at a time, and tells you what landed. The first one is free.
Practice this out loudThe full job description
As published by Invesco.