TL;DR
Quant analyst interviews compress into three games: probability puzzles (often conditional), mental math under time pressure, and coding/data manipulation (Python/C++). Firms care about clear reasoning under stress more than memorized formulas. This guide is educational only — not investment advice or hiring guarantees.
Game 1: Probability
Expect balls-in-urns, expected value, Bayes, and market-making style questions. Practice explaining intuition before algebra. Wrong answer with clean logic sometimes beats right answer with no narrative.
Resources: Heard on the Street-style drills, Jane Street puzzles, past interview collections — timed, out loud.
Game 2: Mental math
Multiplication, fractions, and quick estimation. Tricks help but daily 10-minute drills matter more. Interviewers watch whether you sanity-check absurd results.
Game 3: Coding
Data structures, clean loops, edge cases. Python is common; know your standard library. Sometimes a live spreadsheet or SQL twist appears for research roles.
Pair quant prep with honest career content at stitchaxis.com/youtube (life in hedge fund tracks) and /roadmaps.