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Want to learn?

We've conducted thorough research to identify the optimal learning resources for you.

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We highly recommend any prospective Quants to take advantage of any technical courses at Lehigh that may interest them.

Quantitative Finance Roadmap

This Github roadmap provides a step-by-step guide for mastering quantitative finance, starting from foundational concepts to advanced topics in trading, risk management, and machine learning.

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Programming Console

Technical Skills

Coding:

Kaggle for an introduction to Python, Machine Learning, Pandas, Data Visualization, and much more.

Applying Coding:​

QuantConnect for a basic learning center, with incredible free courses like Introduction to Algorithmic Trading.​

Finance

Yale's online course focused on the basics of Financial Markets is a great start. An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise

​Additionally, we encourage you to cultivate curiosity about unfamiliar terminology by utilizing resources like Wall Street Oasis, Investopedia, and similar reference sites. As Lehigh students, you should take full advantage of our complimentary access to The Wall Street Journal to enhance your knowledge and stay current with financial news.

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Quant Information and Community

For connecting with a wider community of professionals and enthusiasts, we recommend joining both r/quant and r/quantfinance subreddits. These forums contain unique resources not readily available elsewhere, along with personal anecdotes and experiences that you'll have to evaluate for yourself.

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