Information on Quantitative Researchers (or other quant jobs)

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Discussion Overview

The discussion revolves around the career path of becoming a quantitative researcher (quant) and the relevance of a physics background in this field. Participants share their experiences, insights, and recommendations regarding the skills and knowledge necessary for pursuing a career in quantitative research, contrasting it with other roles such as quant trading.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Homework-related

Main Points Raised

  • One participant seeks guidance on the recommended path to becoming a quant, including necessary steps and how a physics background may be beneficial.
  • Another participant clarifies that "quant" refers to quantitative researchers and is distinct from quantum researchers.
  • A participant currently in quant research describes the differences between quant research and quant trading, emphasizing the lack of personal risk in research roles and the importance of programming skills.
  • There are suggestions to build a portfolio on platforms like Kaggle and GitHub, and to practice coding through Leetcode to prepare for programming assessments in interviews.
  • A participant with a background in physics and applied mathematics recommends choosing interesting projects and notes that practical experience, such as implementing trading strategies, can be valuable in interviews, though not universally required.
  • Discussion includes references to common interview questions and resources, such as a popular book for interview preparation, indicating that deep theoretical knowledge may not be necessary for most positions.

Areas of Agreement / Disagreement

Participants generally agree on the importance of programming skills and practical experience for quant roles, but there is no consensus on the specific projects or knowledge areas that are most beneficial. The distinction between quant research and quant trading is also acknowledged, but some participants reiterate this point without further elaboration.

Contextual Notes

Participants express varying levels of experience and knowledge about the field, with some focusing on practical skills while others mention theoretical aspects. There is an acknowledgment of the competitive nature of the field and the diversity of paths one might take.

Who May Find This Useful

Students and professionals interested in pursuing a career in quantitative research, particularly those with backgrounds in physics, mathematics, or data science, may find this discussion beneficial.

ansabs
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Hello, I posted recently asking for information on a physics PhD. I am a second-year Data Science and Physics major at Northeastern University (My school has combined majors that are like double majors but cut a few classes out of each major). As I meant to indicate in the previous post, I am still unsure about what career I would like to pursue after graduation. I wanted to follow up by asking if anyone has insights on becoming a quant.
1. What path did you take/ would you recommend taking to become a quant?
2. What is it like being a quant?
3. What steps could I potentially take now to work towards this goal?
4. How does a physics background apply to being a quant?

As people who have seen the other post may think, I have some work to do to figure out what career I would like to pursue in the future, so that is why I am posting here. Also as I said in the other post, I enjoy the mathematical and computational side of physics much more than the experimental and hands-on side.

Thank you for your time!
 
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A "quant" is not the same a quantum researcher.
 
I'm currently in quant research, as of a few months, albeit in the opposite situation to you (looking to go back for a PhD!). The big difference from quant trading is that you don't take on risk yourself, so it's better if you prefer to think things out more slowly. I'm working on automating up some strategies that we know work OK and trying to make them run more efficiently. Novel alpha is elusive and there are smarter people than me who work on that...

No point in re-hashing what you can find on the internet r.e. interviews, etc., but for QR you'll have a lot more programming assessments. Build a good Kaggle/GitHub portfolio and do lots of Leetcode.
 
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Vanadium 50 said:
A "quant" is not the same a quantum researcher.
Yes I know.
 
ergospherical said:
I'm currently in quant research, as of a few months, albeit in the opposite situation to you (looking to go back for a PhD!). The big difference from quant trading is that you don't take on risk yourself, so it's better if you prefer to think things out more slowly. I'm working on automating up some strategies that we know work OK and trying to make them run more efficiently. Novel alpha is elusive and there are smarter people than me who work on that...

No point in re-hashing what you can find on the internet r.e. interviews, etc., but for QR you'll have a lot more programming assessments. Build a good Kaggle/GitHub portfolio and do lots of Leetcode.
Thank you for your response. If you don't mind me asking, what did you study as an undergrad/grad? Also, what would you recommend learning or self-studying to gain some knowledge on the field and what projects are useful to make?
 
I was physics and then maths (applied) masters. Pick a project that you find interesting - hiring teams appreciate initiative. Depends where you apply, but sometimes it makes a good conversation if you've tried to implement a trading strategy and bet your own money on it (how much did you bet, what was your p&l, etc.), but other places don't care about whether you've done any trading. There is a popular book ("the green book") for interview questions but the most common ones you will get asked don't need much knowledge, i.e. they're not going to ask you about stochastic calculus or obscure theory
 

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