Possibility of pivoting to tech (ML, data science, fintech, etc)

Recently joined a vol trading desk at a top BB and a good chunk of my day is data science/ML projects. Come from a STEM background at a T20 school (not CS), but realizing I may not be able to deal with the high stress of this role for the rest of my life. I find the work fascinating, just would be interested in finding something with slightly better WLB down the line. Are all HFs this sweaty (12+ hour days)? Any other exit suggestions?

5 Comments
 

Based on the most helpful WSO content, pivoting to tech roles like machine learning (ML), data science, or fintech is a viable option, especially given your STEM background and current exposure to data science/ML projects on the vol trading desk. Here are some insights and suggestions:

1. Transition to Tech Roles

  • Fintech: Your experience in a high-pressure trading environment and familiarity with data science/ML makes fintech a natural transition. Many fintech firms value professionals with trading and quantitative experience.
  • Data Science/ML: Your current work already involves these skills, so building on this foundation could lead to roles in tech companies or startups. Consider enhancing your portfolio with personal projects or certifications to showcase your expertise.
  • Bioinformatics or Consulting: If you want to leverage your STEM background in a different way, fields like bioinformatics or consulting could be interesting. For example, bioinformatics allows you to apply math/CS skills in areas like cancer research.

2. Work-Life Balance (WLB) in Hedge Funds (HFs)

  • Hedge funds can be intense, with long hours and high stress, especially in front-office roles. However, quant-focused HFs or roles with a tech culture may offer slightly better WLB compared to traditional trading desks.
  • Some quant HFs have a more structured schedule (e.g., 9 AM to 7 PM), but when issues arise (e.g., model failures), the intensity spikes, sometimes requiring sleepless nights.

3. Exit Suggestions

  • Tech Industry: Transitioning to tech offers better WLB, autonomy, and the ability to work on innovative projects. Many professionals from trading backgrounds have successfully moved into software engineering, product management, or data science roles.
  • Entrepreneurship: If you have a strong interest in building something of your own, your trading and technical skills could be applied to launching a startup, particularly in fintech or related fields.
  • Academia or Research: If you're passionate about learning and innovation, pursuing advanced studies or research in ML, AI, or a related field could be fulfilling.
  • Consulting: Firms specializing in data analytics or tech consulting could be a good fit, leveraging your technical and problem-solving skills.

4. Steps to Prepare for a Pivot

  • Upskill: Continue sharpening your programming and ML skills. Platforms like Coursera, edX, or Kaggle can help you stay sharp.
  • Networking: Build connections in the tech industry through LinkedIn, alumni networks, or meetups.
  • Certifications: Consider certifications in data science, ML, or cloud computing (e.g., AWS, Google Cloud) to strengthen your profile.
  • Portfolio: Create a portfolio of projects showcasing your technical expertise and problem-solving abilities.

Ultimately, transitioning to tech is a realistic and promising path, especially if you're seeking better WLB and a less stressful environment.

Sources: https://www.wallstreetoasis.com/forum/trading/move-to-tech-in-search-of-better-wlb?customgpt=1, I'm currently an equity derivatives/vol trader: Q&A!, Prop Trading (MM) v.s. BB Sales and Trading, I'm currently an equity derivatives/vol trader: Q&A!, From BO to FO and back again, or, how I learned to stop worrying and love technology

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

A lot of the people on the more quantitative desks moved over to tech, but I found the most common place people went was execution at HF or to AMs for less stress. 

If you're looking for less stressful hedge fund slots, systematic funds are less stressful, and my experience at prop shops has always been that they work really hard to keep you sane(40-45 hour work weeks, lots of collaboration, internal movement, etc.) because the prop shops are all about talent retention. 

 

Depends on the desk. A good number from equity derivs go to shops doing systematic options and OMMs. It's a sliding scale when on a trading desk. I've also seen S&T->macro->systematic macro->systematic along with S&T->Prop trader->Quant trader->quant researcher at prop shop->quant at systematic shop. You'd have to pick up a lot as you go, but generally the great thing about trading and markets is that it's so driven by results that you can basically do whatever you want if you print(exaggerating a little, but generally I've seen senior quant traders at prop shops only work market hours because they print. It's 100% possible to get good WLB as a trader with less stress, you just need a reputation and skills.)

 

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