Graduate Quantitative Researcher (PhD)
Posted Sep 30, 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 research or class project where your first idea failed. What did you do next?
What they are checking: Persistence and how they adjust a hypothesis, which is most of real research.
Tell me about a time you worked with someone whose approach was very different from yours.
What they are checking: Teamwork with traders and developers who think differently than researchers do.
What's an area of math or data you'd like to own, and why?
What they are checking: Whether they have the drive to find their own niche, which the posting says it encourages.
What would you do
A trader tells you a model is giving strange prices on one product. How do you start investigating?
What they are checking: Whether they can work with traders and debug a model in production in a structured way.
Your model looks great in testing, but you need to put it into production. What could go wrong?
What they are checking: Whether they think about data differences, latency and monitoring when moving a model to live trading.
About the work
You roll two fair dice. What's the expected value of the larger one?
What they are checking: Quick, clean probability reasoning, which is the foundation of quant research work.
You have a dataset and a feature that seems to predict next-minute returns. How would you check that the signal is real?
What they are checking: Whether they think about overfitting, lookahead bias and out-of-sample testing before trusting a result.
Explain what linear regression assumes and what happens when those assumptions break.
What they are checking: Solid statistics grounding beyond knowing how to call a library function.
What is an option, and why would its price go up when expected volatility goes up?
What they are checking: Basic intuition about options, which matter to IMC's market making business.
How would you build a tool to quickly explore a new research idea on large market data?
What they are checking: Whether they can code practical tools, since the role builds custom tools for research.
I flip a coin until I get two heads in a row. What's the expected number of flips?
What they are checking: Comfort with expected value and recursion under time pressure.
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Practice this out loudThe full job description
As published by IMC Trading.