Getting started

I have been on the private markets (VC and PE investing ; no i banking or consulting experience) all my life. For some reason, I did not take an interest in public markets, not even enough to learn how to trade for myself (idk why, I am still trying to figure it out given I am in finance). Recently, I have taken an interest in public markets, including contemplating pivoting to HFs

Do you have resources (posts, books, courses, etc.) that is good for an absolute noob like me? I am also thinking of learning a programming language and maybe aiming for a quant / algo HF.....would love to get your thoughts on someone with my background.

5 Comments
 

Based on the most helpful WSO content, here’s a roadmap tailored to your background and goals:

1. Resources for Learning Public Markets and Trading

  • Books: Start with foundational books like "A Random Walk Down Wall Street" by Burton Malkiel for an introduction to investing principles, and "The Intelligent Investor" by Benjamin Graham for value investing basics.
  • WSO Resources: Explore the Hedge Fund Interview Prep and Investment Banking Interview Prep courses available on WSO. These resources cover technical and behavioral aspects, which are crucial for transitioning into hedge funds.
  • Online Courses: Consider the WSO Financial Modeling & Valuation Bootcamp. It’s a 2-day intensive program that covers Excel, M&A, 3-statement modeling, DCF, and more—skills that are transferable to public markets.
  • Forums: Engage with WSO forums like "Best resource for learning about investing strategies?" and "Quantitative Analysis and Probability in Trading." These threads often have curated advice from professionals.

2. Programming for Quant/Algo HFs

  • Languages to Learn: Python is the go-to language for quant and algo trading. It’s widely used for data analysis, backtesting strategies, and building trading algorithms. R and SQL are also valuable for data manipulation and statistical analysis.
  • Learning Platforms: Platforms like Codecademy, DataCamp, and Coursera offer beginner-friendly courses in Python and data science.
  • Practical Application: Tools like Quantopian (discussed in WSO threads) or QuantConnect allow you to practice building and testing trading algorithms in a simulated environment.

3. Transitioning to Hedge Funds

  • Networking: Leverage your VC/PE network to connect with professionals in hedge funds. Many HFs value diverse backgrounds, especially if you can demonstrate a strong understanding of public markets and a willingness to learn.
  • Case Studies: Participate in case study discussions, such as the one mentioned in WSO about a top 5 hedge fund in the discretionary investing vertical. These exercises can help you understand the decision-making process in HFs.
  • Mock Interviews: Use WSO’s Mock Interview services to prepare for HF interviews. They offer tailored feedback to help you refine your pitch and technical skills.

4. Action Plan

  • Start with foundational books and courses to build your knowledge of public markets.
  • Learn Python and practice building simple trading algorithms.
  • Engage with WSO forums and resources to stay updated and connect with industry professionals.
  • Consider attending WSO’s live bootcamps (e.g., Financial Modeling & Valuation or Hedge Fund Interview Prep) to fast-track your learning.

With your private markets experience, you already have a strong foundation in finance. By layering in public markets knowledge and programming skills, you’ll position yourself as a competitive candidate for hedge funds, including quant/algo roles.

Sources: Quantitative Analysis and Probability in Trading (Market Makers, HFT, Quant Firms), Top target schools for quant hedge fund or quant/algo prop shop?, Q&A: Non-Target School to Portfolio Manager at a Top Hedge Fund – 6 Years Out of Undergrad, https://www.wallstreetoasis.com/forum/investment-banking/literature-to-determine-if-pe-is-a-fit?customgpt=1, Best resource for learning about investing strategies?

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 

You’d likely need to go back to school if you have no stem exp at all for the quant side. Just pick a decent MFE or something adjacent since you alr have the finance background. If you did EE or applied math or physics in undergrad you should be fine though. I’m sure u can get looks at pods and some SMs that would be a faster path. Just be ready or the recruiters won’t want to work with you.

 

Be wary of MFE / quant masters programs though. Often a cash grab and not worth the risk of leaving for job for it. If you can do some type of STEM masters part time while in your current job tho, that could be good (if you want to try for the quant thing).

Don't make any crazy moves thinking the grass is greener in public markets

 

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