Applied to 415 Quant Jobs, Learn From My Mistakes
Updated: November 19, 2024
Summary
The video provides a comprehensive overview of the application process for quantitative roles in the UK, covering various stages like CV screening, technical assessments, and HR interviews. The speaker delves into interview topics spanning mathematics, data handling, machine learning, and programming, offering insights into the types of questions and concepts tested in these categories. Additionally, the speaker reflects on their personal application season, sharing both successes and challenges faced, while identifying areas for improvement such as leveraging LinkedIn connections and practicing storytelling skills for interviews. Predictions for future hiring seasons are also discussed, pointing towards longer interviews, increased emphasis on machine learning, and the growing importance of storytelling in securing roles.
Background and Statistics
The speaker provides background information about being an international student in the UK, having a master's degree in Engineering, work experience, and leadership positions. They also share statistics on the application season, including the number of applications, positive responses, and offers received.
General Application Process
Details about the general application process for quantitative roles, including the average number of rounds, types of assessments, and the overall structure of the application process. The speaker explains the different stages like CV screening, technical assessments, and HR interviews.
Interview Topics
The speaker discusses interview topics categorized into mathematics, data handling, machine learning, and programming. They provide insight into the types of questions and concepts tested in each category, such as probability, data cleaning, options pricing, and programming paradigms.
Good, Bad, and Ugly of Application Season
Reflection on the speaker's application season, highlighting positive experiences, challenges faced, and unpleasant situations encountered during the process. They talk about successful programming assessments, failed final rounds, impressive coding tasks, and the emotional impact of rejections.
Improvements and Predictions
Areas of improvement identified by the speaker, such as leveraging LinkedIn connections, pacing oneself during the application process, and practicing storytelling skills. They also provide predictions for the future hiring season, anticipating longer interviews, increased emphasis on machine learning, and the importance of storytelling in interviews.
FAQ
Q: What are some common stages in the application process for quantitative roles?
A: Common stages in the application process for quantitative roles include CV screening, technical assessments, and HR interviews.
Q: Can you explain what nuclear fusion is?
A: Nuclear fusion is the process by which two light atomic nuclei combine to form a single heavier one while releasing massive amounts of energy.
Q: What types of interview topics were discussed by the speaker?
A: The speaker discussed interview topics categorized into mathematics, data handling, machine learning, and programming.
Q: What are some areas of improvement identified by the speaker?
A: Areas of improvement identified by the speaker include leveraging LinkedIn connections, pacing oneself during the application process, and practicing storytelling skills.
Q: What are some predictions made by the speaker for the future hiring season?
A: Predictions made by the speaker for the future hiring season include anticipating longer interviews, increased emphasis on machine learning, and the importance of storytelling in interviews.
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