SIG
Signet Jewelers Limited
stock NYSE

Apart from the name SIG doesn’t advertise / acknowledge the entity in any way: Just has a landing page on google with nothing on it. Not the most secret name but I guess sort of counts as secret - ish?

SIG's first technical round for QR/QST roles typically focuses on foundational probability and statistics rather than machine learning - think brainteasers involving dice rolls, expected values, conditional probability, and maybe some basic regression concepts. They want to see how you think through problems out loud more than they want perfect answers, so expect questions like "what's the expected number of coin flips until you see two heads in a row" or "explain what a p-value means to someone non-technical." The difficulty sits somewhere between "this should be review" and "okay, I need to actually think about this," but they're testing your intuition and communication as much as your technical chops. Prepare by working through classic probability problems from sources like "Heard on the Street" or "A Practical Guide to Quantitative Finance Interviews," and practice explaining your reasoning clearly since mumbling through your thought process is the fastest way to bomb.
The statistics they mention usually means classical stats - distributions, hypothesis testing, linear regression, maybe some basic time series concepts - not deep learning or neural networks. You should be comfortable explaining concepts like bias-variance tradeoff, confidence intervals, and when to use different statistical tests, but they're not going to grill you on backpropagation or random forests at this stage. If you're struggling with how to articulate these concepts under pressure, I built [AI assistant for interviews](http://interviews.chat) which can with these kinds of technical interview questions in real-time