Things I've actually used to get into quant. No filler. If it's on here it either shaped how I think or I actively reference it. I get asked about this enough that it made sense to write it down.
Free PDF on his site. The most complete treatment of vol trading I've found: skew, term structure, dispersion, variance swaps. Dense but worth it. I keep coming back to it. If you're going anywhere near a vol desk this is required reading.
Older book but one of the few that actually explains how market makers think about inventory, risk, and edge. Less about formulas and more about the mental model. Good complement to Natenberg.
The standard. If you're going into options or vol this is the bible. Natenberg builds intuition before throwing math at you, which is the right order. Read it cover to cover once, then use it as a reference.
Hull's textbook. Used in basically every derivatives course. Not something you read cover to cover. It's a reference. Strong on the mechanics of futures, swaps, and options pricing. Useful to have around.
The standard intro to stochastic calculus for quant finance. Covers discrete-time models, Brownian motion, and the foundations you need for options pricing theory. Volume I is the cleaner starting point. Get comfortable here before jumping to Volume II.
The best real analysis intro I've found. Cleaner and more readable than Rudin. Abbott actually explains the motivation behind every definition instead of just stating it. If your analysis foundations are shaky, start here.
Axler deliberately avoids determinants until the end and builds everything from first principles. Builds real intuition for what linear maps actually are. Better for theory than Strang. If you want to actually understand what's happening underneath PCA, covariance matrices, etc., this is the book.
Not rigorous, but that's the point. Good for building Bayesian intuition if you've been thinking frequentist your whole life. Read it fast, then move to something heavier if you need to go deeper. The mental model shift is worth the afternoon it takes.
Classic collection. Short problems with elegant solutions, the kind you see in quant interviews. Good for building the probabilistic intuition that textbooks don't actually give you. Work through them without looking at the answers first.
The best structured resource for quant interview practice. Covers probability, statistics, options, and mental math with difficulty ratings. I used this heavily before interviews. Do it consistently, not in one panic session.
Focused on market making and trading puzzles. Good for understanding edge, pricing under uncertainty, and the adversarial dynamics of quote-driven markets. Less covered by other resources, so worth checking out.
Pure mental math speed practice. Underrated. Fast mental arithmetic matters more in interviews than people expect. Do timed sessions. It's repetitive, but that's the point.
Collection of classic math and logic puzzles. Great for building the combinatorial and lateral thinking that shows up in brain teaser rounds. Some of these are legitimately hard. Don't look at the answers too fast.
Quant-specific puzzles with a focus on probability and statistics. Good complement to Gurmeet. The problems here are more finance-adjacent. Useful for filling in gaps after Quantguide.
Quant finance content that's actually technically substantive. Covers interview prep, trading concepts, and career navigation. Good signal-to-noise ratio.
Quant and trading content from someone who's been through the process. Useful perspective on recruiting and what actually matters once you're in the door.
Systematic and trend-following focused content. Good for understanding the macro-systematic side of quant, which doesn't get covered as much as HFT and market making on these platforms.