Follow CERN finance club events: https://indico.cern.ch/category/7967/ 

Financial Markets to mathematical methods in Quant

• Statistics of Financial markets by Franke (Club Review: A complete overview, might be advanced)
• Introduction to financial option valuation (Club review: recommended as one of the first books for anyone interested in derivatives)
• Quantitative finance with python by Chris kelliher
• The art of quantitative finance by Gerhard Larcher
• A first course in quant finance by Thomas Mazzini
• Monte Carlo in financial engineering by Paul Glasserman
• ML in finance by Matthew Dixon

Corporate Finance

• Principles of corporate finance by Richard brealy  (Club Review: Beginner level, covers - basic valuations, accounting, stocks and bonds from scratch) 

For interview preparation:

• Cracking the coding interview - focused on c++ / programming questions
• "A practical guide to quant finance" by Zhou (Club Review: known as "the green book", is THE standard book for quant interviews, which covers basically everything)
• The g research mock exam: https://www.gresearch.com/wp-content/uploads/2019/12/Sample-Quant-Exa.pdf
• The Jane street sheet (is also good probability revision) https://www.janestreet.com/static/pdfs/trading-interview.pdf
• Here's what Berkeley tells their student to do for interviews: https://haas.berkeley.edu/current-mfe-students/requirements-conditions