Practice real quant interview questions from Jane Street, Citadel, and Two Sigma. Master C++ and Python coding, probability brainteasers, and trading MCQs with 3 career tracks.
1 import numpy as np
2
3 def moving_average(prices, window=20):
4 # Calculate simple moving average
5 weights = np.ones(window) / window
6 return np.convolve(prices, weights, 'valid')Practice quantitative trading algorithms in our interactive code editor. Write C++ or Python, get instant feedback, and build the skills that matter.
Test your solutions instantly with automated feedback
Practice with realistic quant trading problems
From basic statistics to advanced trading strategies
From market microstructure to options greeks, our questions cover everything you need to ace quant trading interviews.
Questions from top companies.
Placements at top companies.
Your edge in the quant hiring process. We combine real interview questions with hands-on practice to get you job-ready.
Whether you're aiming to be a quant developer, researcher, or trader, we have specialized content for each path.
Practice C++ and Python in our browser-based IDE. Implement pricing models and get instant feedback.
Our users have received offers from top firms like Jane Street, Citadel, and Two Sigma.
See how MyntBit compares to other prep platforms
| Feature | MyntBit | LeetCode | Green Book | Others |
|---|---|---|---|---|
| Quant-specific questions | Partial | |||
| Interactive C++ coding | ||||
| Career track specialization | ||||
| Trading competitions | ||||
| MCQ brainteasers | Partial | |||
| Fresh interview questions | Partial | |||
| Free tier available |
Find answers to common questions about our platform.
Choose Your Path
Three specialized tracks for different quant finance roles
High-performance C++ systems & low-latency trading
Statistical modeling, alpha research & quantitative analysis
Market intuition, mental math & trading psychology