Probability for quant interviews
3 readings
Move from conditioning and expected values to timed problems with a defensible solution.
- Who this is for
- Interview candidates who need probability practice with explanations.
- What you will work towards
- Choose a useful sample space, justify conditioning, and explain an expectation calculation aloud.
Before you start
Use these SMQ lessons to check the ideas the readings assume. Lesson pages show the outline and how to access the full lesson.
- Conditional Probability, Total Probability, and Bayes' Rule
Use conditioning to turn incomplete information into a calculable probability.
- Expectation, Mean, and Variance
Read expected payoffs and risk estimates in the same mathematical language.
Read in this order
Introduction to Probability and Statistics
Repair the concepts before memorising interview answers.
Fifty Challenging Problems in Probability with Solutions
Practise setting up unfamiliar probability problems.
A Practical Guide to Quantitative Finance Interviews
Put probability into the wider quant interview setting.
Continue your study on SMQ
- Conditional Probability, Total Probability, and Bayes' Rule
Use conditioning to turn incomplete information into a calculable probability.
- Expectation, Mean, and Variance
Read expected payoffs and risk estimates in the same mathematical language.
Follow the connected lessons, worked examples, and exercises in the app. Full lesson access depends on the topic and your membership.
Practise SMQ interview questions