Author: Mohammad Daneshvar

About this website

On this website, I have provided a collection of mathematical problems tailored for quant interview preparation. I value any input you might have concerning the problems or their solutions.

About Quant Jobs

Quantitative roles include positions that involve extensive data analysis, mathematical modeling, and statistical examination to facilitate decision-making and address complex challenges. These positions commonly demand a solid foundation in mathematics, statistics, computer science, and related domains. Here are a few examples of quantitative jobs:

Quantitative Research: A specialized field that involves using mathematical and statistical methods to gather, interpret, and draw meaningful insights from data. Professionals in this area are responsible for designing and conducting studies, experiments, and investigations with the aim of quantifying relationships, patterns, and trends in various areas such as science, business, finance, social sciences, and more.
Risk Management: Experts in this area play a pivotal role in shaping investment and trading decisions through their expertise in risk analysis. They work to design, refine, and optimize risk model frameworks that span diverse markets and assets, contributing to the identification and quantification of potential risks. By closely analyzing market trends and financial data, these professionals enable informed choices, ensuring that risk factors are carefully evaluated before crucial investment and trading moves are executed.
Quantitative Trading: Traders utilize market information, including price and volume, employing mathematical and statistical methods to recognize trading choices involving extensive shares and securities. A trader formulates a plan, applies the model to historical market data for back-testing and refinement, and if proven profitable, implements it in real-time markets for automated trading.
Data Science and Analysis: In data science positions complex data sets must be gathered, analyzed, and interpreted in order to yield insightful conclusions and guide decision-making. Experts in this area apply statistical methods, machine learning algorithms, and programming languages to find patterns, trends, and correlations, fostering innovation and problem-solving in a variety of industries.