What math background do I need?
Solid probability and statistics. Stochastic calculus is helpful for derivatives-focused roles but not required for all quant positions.
0→1 Interview Playbook · Valenx Press
Quantitative Analyst
Frameworks for Probability, Stochastic Calculus, and Trading Interviews
8 chapters · 200 pages · finance
Quantitative analyst interview system covering probability puzzles, stochastic calculus, coding challenges, brainteasers, market making scenarios, and statistical reasoning.
Get on AmazonWho Is This For
- Math and CS graduates targeting quant roles
- Engineers transitioning to quantitative finance
- PhD students preparing for trading firm interviews
- Existing quants interviewing at Jane Street, Two Sigma, or Citadel
What You Will Learn
- 1. Three problem-solving approaches for probability questions
- 2. Market making pricing intuition
- 3. Brainteaser meta-strategies
- 4. Statistical reasoning under time pressure
- 5. Coding challenges specific to quant interviews
Sample Topics Covered
6 variations of the dice problem
Market making bid-ask scenarios
Conditional expectation puzzles
Frequently Asked Questions
Is this for quant trading or quant research?
Both. The core probability and reasoning skills are tested across quant trading, research, and development roles.