Last resource added: Dec 1, 2023.
General | Description |
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Dimitri Bianco | YouTube channel talking about his journey getting a job in quant. He shares various resources, advices, and stories. |
Reddit AMA | Ask Me Anything - a quant answering questions about their interview process, career, and background. |
Various pages on GitHub for internships | Google "quant internship github" and you will see various pages on opportunities. This works for SWE and Data Science jobs as well. |
PyQuant News | Twitter page dedicated to beginners in Quant. Offers advices and introductions to state-of-the-art tools. |
How The Economic Machine Works | A YouTube video about how the economy works. Well explained by Ray Dalio. |
Interview Prep | Description |
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LeetCode Blind75 | Beginner LeetCode questions for coding interviews or online assessments. Blind 75 is a good way to get started and covers a variety of topics. |
NeetCode | Another LeetCode prep. NeetCode YouTube explaining variety of problems and topics. |
QuantGuide | Practicing quant interview questions. Similar to LeetCode. |
ZetaMac | Fast paced arithmetic drills. Firms like Optiver has this as part of their interview process. |
StrataScratch | Learn and practice SQL questions. Real interview questions from F500 companies |
Green Book | Book for quant-style interview questions. Often referred to as "Green Book". |
Ace the Data Science Interview | Book for data science interview prep. Has relevant resources for quant interviews as well. |
LaTeX Resume Format | Pick minimal LaTeX formats. Consistent formatting is a lot easier on LaTeX. |
Educational | Description |
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Statquest | One of the best educational YouTube channel on learning statistics, data science, and machine learning. |
The Missing Semester of Your CS Education | A free, online, self-paced course from MIT. Teaches the terminal, bash, git, and other miscellaneous things that you typically don't learn in school, but can be useful to know prior to your tech/quant internships. |
Seeing Theory | Great interactive visualizations for concepts in probability and statistics. |
Note: Feel free to look around the GitHub page. There are various resources from past years as well.
Here are some upper level courses to take at BU.
Math and Statistics
- MA415 Data Science in R
- MA416 Analysis of Variance
- MA575 Linear Models
- MA577 Mathematics of Financial Derivatives
- MA583 Introduction to Stochastic Processes
- MA585 Time Series and Forecasting
- MA751 Statistical Machine Learning
Computer Science
- CS506 Data Science Tools and Applications
- CS541 Applied Machine Learning
- CS542 Principles of Machine Learning
Economics and Questrom
- EC445 Economics of Risk and Uncertainty
- FE459 Computational Techniques for Finance
- Any course on econometrics
Miscellaneous
- MET AD587 / PY538 Interdisciplinary Methods for Quantitative Finance
- PY541 Statistical Mechanics
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