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Practice Drills: Mock Quant Researcher Technical Interview Round

A mock technical round for anyone applying to quant researcher roles at prop desks, hedge funds and systematic trading firms in India. Each lesson is a drill set modelled on the questions these rounds actually ask: probability puzzles, statistics and econometrics, linear algebra and stochastic calculus, live Python coding, and open-ended research cases built on NSE data. You solve under time pressure, then compare your reasoning against a model answer and a scoring rubric. The course ends with a full timed mock round and a structured debrief.

Quant InterviewsProbability PuzzlesStatistics and EconometricsStochastic CalculusPython Coding RoundsResearch Case Studies

MODULES

6

DURATION

~5 hrs

TRACK

Quantitative Finance

What You'll Master

Understand how a quant researcher technical round is structured and scored

Solve conditional probability, expected value and random walk problems quickly and out loud

Answer regression, hypothesis testing and time series questions with the depth interviewers probe for

Explain covariance matrices, PCA, Brownian motion and Ito's lemma without hand-waving

Write clean, vectorised pandas code for common live-coding prompts

Critique a flawed backtest and design a testable signal from Indian market data

Sit a full timed mock round and diagnose your own weak areas

Access Level

LEARNER

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Everything included

Full Text Playbooks

Actionable Exercises

Mobile Reading Mode

Lifetime Updates

Curriculum Breakdown

Chapter 1: How the Technical Round Works

2 Lessons

Drill 1: How a Quant Researcher Technical Round Is Scored12 min read

Drill 2: Thinking Out Loud, the Answer Framework Interviewers Reward15 min read

Chapter 2: Probability and Brainteasers

3 Lessons

Drill 3: Conditional Probability and Bayes Under Time Pressure20 min read

Drill 4: Expected Value, Dice Games and Optimal Stopping20 min read

Drill 5: Random Walks, Gambler's Ruin and Hitting Times20 min read

Chapter 3: Statistics and Econometrics

3 Lessons

Drill 6: Regression Questions, OLS Assumptions and What Breaks Them20 min read

Drill 7: Hypothesis Testing, p-Values and Multiple Testing in Alpha Research18 min read

Drill 8: Time Series Questions, Stationarity, Autocorrelation and Cointegration20 min read

Chapter 4: Linear Algebra and Stochastic Calculus

2 Lessons

Drill 9: Covariance Matrices, Eigenvalues and PCA Questions18 min read

Drill 10: Brownian Motion, Ito's Lemma and Black-Scholes Intuition22 min read

Chapter 5: Coding and Research Case Rounds

3 Lessons

Drill 11: Live Coding in pandas, Rolling Statistics and a Vectorised Backtest22 min read

Drill 12: Research Case, Critique a Too-Good Nifty Backtest20 min read

Drill 13: Research Case, Design a Testable Signal From NSE Data20 min read

Chapter 6: The Full Mock Round

2 Lessons

Capstone: A 60-Minute Timed Mock Round With Scoring Rubric25 min read

Debrief: Common Failure Modes and a Four-Week Prep Plan15 min read