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Quant Researcher
You're preparing for a quant research or quant trading seat, and the first rounds will test probability, statistics, stochastic calculus and option pricing.
What you'll leave with: Derive rather than recall: price an option from first principles, tell a real signal from an overfit one, and talk through risk-neutral pricing the way an interviewer expects.
5 courses · 121 levels · about 24 hours · starts at intermediate
The courses, in order
Nothing is locked: skip a step you already know.
- Math Masters Calculus, probability and linear algebra, met visually — the language every later step is written in.
- Stat Dojo Probability and inference until they're intuition. Half of a quant interview is about chance, not formulas.
- Regression Range Fitting, testing and forecasting — the daily work of a researcher hunting for a signal that's real.
- Hull Street Futures, options and Black–Scholes from first principles — the derivatives literacy every desk assumes.
- Quant Quest Risk-neutral pricing, stochastic calculus and structured products — the deep end the interview finishes in.
Worth adding
- Game Table — Strategy and probability puzzles are a staple of the brainteaser round.
- Runtime Row — The coding half of the interview, which most candidates revise last.
Where it leads
Every course ends in a live simulation of the job, and the mock interview is the seat itself. All open now.