Quantitative finance offers STEM graduates a career where they can apply their technical skills in a research-driven and fast-paced environment. This blog post aims to provide an overview of the skills and resources that can prepare a perspective STEM student in breaking into the industry.
Summary
To pass quant interviews, the candidate needs to cover three clusters of skills: mathematics, coding, and basic finance. Within the mathematics cluster, probability, statistics, linear algebra, and machine learning (in particular, linear regression) are essential. Within the coding cluster, the candidate needs to know basic data structures and algorithms (e.g., hash map, dynamic programming) and should be able to solve leetcode-style questions. Within the finance cluster, the candidate should cover basic financial instruments (bonds, futures, options), understand Sharpe ratio, and have some ideas about trading strategies. Additionally, one should be prepared to answer brain teaser-style questions.
Useful Reddit Sites
Aggregate of Quant Interview Prep Resources
I’ve aggregated all of my research about quant finance careers into this thread.
Significant Employers of Quants
Personal Perspectives
AN INTERVIEW PRIMER FOR QUANTITATIVE FINANCE – Dirk Bester
AstroQuant 
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