Tower Research Capital Quantitative Analyst Interview Guide

Our candidates report that Tower Research Capital cares less about polished scripting and more about whether you can defend the work on your resume line by line. In one accepted-offer experience, the interviewer spent most of the conversation probing a recent internship, turning each project into a series of follow-ups. That pattern suggests they’re looking for real ownership and technical clarity, not just familiarity with buzzwords. If you say you built, optimized, or analyzed something, expect to explain the assumptions, tradeoffs, and edge cases behind it.

A recurring theme is that Tower mixes that depth check with a light but telling layer of probability intuition. The die-roll expected value question is a good example: the candidate didn’t finish it perfectly, yet still advanced, which tells us the bar is not flawless recall. What seems to matter more is whether you can reason cleanly under pressure and stay coherent when the problem is unfamiliar. We’ve seen this kind of process reward candidates who can move from intuition to structure without getting rattled.

The other non-obvious signal is the tone: the experience was described as detailed but fair, with time left for questions and a conversational feel. That matters because it implies Tower is evaluating how you think in a real working exchange, not just how fast you can produce an answer. Our read is that depth on your recent experience and sound probabilistic reasoning are the two levers that most often separate strong candidates from everyone else.