Quant Interview Preparation
A complete interactive course with podcasts, flashcards, quizzes, and written exercises. Not a summary — a structured learning experience.
One-time payment, lifetime access
Your first course is free — no credit card required
30-Day Learning Guarantee — If the course doesn't meet your expectations, we'll refund you. No questions asked.
Course overview
What will I learn in this course?
Quant interviews are notoriously intense: probability puzzles, mental math under time pressure, brainteasers that test your logical reasoning, and behavioral questions that probe how you think through uncertainty. You could spend weeks scrolling through forum posts and random YouTube videos, piecing together sample questions without understanding the underlying frameworks that interviewers are actually evaluating. That scattered approach leaves you anxious about what you've missed and unsure how to structure your thinking when the pressure is on.
This course replaces that chaos with a structured program that covers every dimension of quant interview preparation. You'll work through core probability and statistics concepts that appear repeatedly in interviews, practice mental math techniques for quick estimation, tackle classic brainteasers with step-by-step breakdowns, and learn how to communicate your reasoning clearly. The course includes podcast episodes explaining frameworks like expected value and conditional probability, flashcards for memorizing key formulas and shortcuts, case studies of actual quant interview questions from firms like Jane Street and Citadel, and timed practice problems with AI feedback that helps you refine your approach. You'll also prepare for behavioral questions that assess your fit for high-stakes trading or research roles, using the STAR method to structure answers about how you handle ambiguity and pressure.
This course is for anyone preparing for quant trader, quant researcher, or quantitative analyst interviews at hedge funds, proprietary trading firms, or investment banks. Whether you're coming from a math, physics, or computer science background, you'll build the confidence to tackle quant interview questions methodically and explain your thinking clearly. By the end, you won't just know more problems — you'll have internalized the mental models that let you approach novel questions with structure and composure.
Last updated: March 2026 · Created by Erudia's AI curriculum engine from verified sources
Course curriculum
5 modules, designed for mastery
Probability and Statistics Core: Building the Foundation for Quant Questions
~85 minMaster the probability theory and statistical concepts that underpin most quant interview questions, from conditional probability and Bayes' theorem to distributions and expected value calculations. Practice applying these frameworks to classic problems.
Mental Math and Estimation Techniques: Calculating Under Pressure
~60 minBuild speed and accuracy with mental math shortcuts, approximation strategies, and estimation techniques used in timed quant interviews. Work through progressively challenging numerical problems with immediate feedback.
Brainteasers and Logic Puzzles: Structured Approaches to Novel Problems
~75 minTackle classic quant brainteasers — weighing problems, river-crossing puzzles, game theory scenarios — and learn frameworks for breaking down unfamiliar questions. Understand what interviewers are evaluating when they watch you think aloud.
Firm-Specific Question Styles: Jane Street, Citadel, Two Sigma, and Beyond
~80 minStudy the distinct interview approaches of top quant firms — Jane Street's focus on probability games and market-making intuition, Citadel's emphasis on mental math speed, and the coding-heavy technical rounds at firms like Two Sigma and HRT.
Timed Mock Interviews: Simulating Real Quant Interview Pressure
~50 minComplete timed mock interviews that combine probability questions, brainteasers, and behavioral scenarios. Practice verbalizing your reasoning and receive AI feedback on clarity, structure, and mathematical accuracy.
What learners are saying
Real courses, real feedback
“I’ve read the book twice, so I was skeptical a course could add anything. It did. The module on counter-strategies completely changed how I think about defensive positioning, and the written assignments forced me to actually apply the laws to situations I’m dealing with at work — not just passively absorb them.”
Mauritz Burenius
Author of Never Piss Off HR · The 48 Laws of Power
“This covered territory I haven’t seen in any other course — residual valuation models for streaming libraries, probabilistic forecasting for franchise IP, portfolio construction across film, TV, and gaming assets. The quizzes caught gaps in my understanding I didn’t know I had. Genuinely useful for anyone working in media finance.”
Andrew Kotliar
Media & Entertainment Finance · Advanced Valuation and Portfolio Management of Media IP
Everything you need
What formats are included in this course?
Every module delivers content across multiple formats — each chosen for a specific learning science reason.
AI-Generated Podcasts
Two voices — an expert and a curious learner — break down complex topics in engaging conversations. Listening activates different cognitive pathways than reading, deepening comprehension.
Structured Key Concepts
Clear, pedagogically-framed core knowledge organized for progressive understanding. Each concept builds on the last, creating a coherent mental model.
Real-World Case Studies
Applied examples from actual scenarios show how theory works in practice. Case-based learning bridges the gap between knowing a concept and using it.
Interactive Flashcards
Active recall — testing yourself — improves retention by 50%+ compared to passive review (Roediger & Karpicke, 2006). Flashcards make retrieval practice effortless.
Quizzes & Assessments
Multiple-choice questions with detailed explanations test understanding and reveal knowledge gaps before you move on. Mastery-based progression ensures nothing is skipped.
Written Assignments
Writing forces deeper processing than multiple choice. Synthesize your learning by applying concepts to realistic scenarios, with instant AI-powered feedback on your analysis.
How Erudia compares
How does Erudia compare to other learning platforms?
| Erudia | Blinkist | Coursera | NotebookLM | BeFreed | |
|---|---|---|---|---|---|
| Structured courses with mastery gating | Some | ||||
| Podcasts, flashcards, quizzes & assignments | Audio only | Video only | Audio only | Audio only | |
| Generate a course on any topic | Your docs | ||||
| Must prove understanding to advance | Some |
Built on learning science
Every format is here for a reason
Erudia courses combine five proven learning methods into one seamless experience — so knowledge sticks, not just passes through.
Spaced Exposure
Content revisited across multiple formats — audio, text, flashcards, quizzes — reinforces memory through varied repetition. Each encounter strengthens the neural pathway differently.
Retrieval Practice
Flashcards and assessments force active recall — shown to improve retention by 50%+ versus passive reading (Roediger & Karpicke, 2006). Every quiz is a memory-strengthening event.
Synthesis Through Writing
Written assignments require deeper processing than multiple choice. When you explain a concept in your own words, you discover what you truly understand and what you don't.
Multi-Format Learning
Audio, reading, case studies, and interactive practice mirror how people naturally absorb complex information. Each format activates different cognitive pathways, building richer understanding.
Mastery-Based Progression
You can't skip ahead until you've demonstrated understanding. This isn't arbitrary — it's how lasting learning works. Each module builds on the foundations laid by the previous one.
Start learning today
Podcasts, flashcards, quizzes, and written exercises — all in one course.
One-time payment, lifetime access
30-Day Learning Guarantee — If the course doesn't meet your expectations, we'll refund you. No questions asked.
Your first course is free — no credit card required
FAQ
Frequently asked questions
The course is built around timeless probability and logic frameworks that remain central to quant interviews, plus regularly updated examples from recent interview experiences at firms like Jane Street, Citadel, and Two Sigma. Core concepts like expected value, conditional probability, and brainteaser frameworks haven't changed, but we incorporate new problem styles as they emerge.
No. Many successful quant candidates come from undergrad math, CS, or physics backgrounds. What matters is your ability to think clearly under pressure and communicate your reasoning. This course focuses on the specific problem types and mental models that appear in interviews, not advanced theoretical math. If you're comfortable with undergraduate probability and can think logically, you can prepare effectively.
Friends can't give you the structured progression from foundational probability to firm-specific question styles, and ChatGPT doesn't know which mental math shortcuts actually matter in timed interviews or how Jane Street evaluates market-making intuition differently than Citadel evaluates raw speed. This course sequences problems deliberately, provides context on what interviewers are evaluating, and offers AI feedback calibrated to quant interview standards — not just whether your answer is correct, but whether your reasoning is clear and efficient.
Yes — and often richer than traditional single-format courses. Every course is built from curated web sources and structured using proven pedagogical frameworks: spaced exposure, retrieval practice, and mastery-based progression. A supervisor agent reviews all generated content for accuracy, consistency, and depth before it reaches you. The multi-format approach — podcasts, case studies, flashcards, written assignments with AI feedback — creates a more complete learning experience than most human-created courses that rely on video lectures alone.
Each course is divided into modules that take approximately 45-90 minutes each, depending on topic complexity. You can work through them at your own pace — there are no deadlines. Most learners complete a full course within 1-3 weeks depending on depth and schedule.
Every course includes AI-generated two-voice podcasts, structured key concepts, real-world case studies, interactive flashcards, multiple-choice quizzes, and written assignments with AI-powered feedback. All content is generated specifically for your course topic.
Yes. Erudia is fully responsive and works on any device — phone, tablet, or desktop. Listen to podcasts on the go, review flashcards during a commute, or complete assignments on your laptop. Your progress syncs across all devices.
We offer a 30-day learning guarantee. If you complete a course and don't feel you've genuinely learned something new, we'll refund your purchase — no questions asked. We're that confident in the science behind every course.
Yes. Any material you upload is used solely to generate your course. Our AI providers process your content under zero-data-retention agreements, meaning it is never stored, logged, or used for model training. Your files are stored securely in your account and are never visible to other users or shared with third parties.