Pivoting as a vol trader…

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? Is tech a possibility?

2 Comments
 

Based on the most helpful WSO content, here’s what you need to know:

  1. Hedge Fund Work-Life Balance (WLB):
    Hedge fund roles can vary significantly in terms of work-life balance. While some funds, especially multi-strat credit hedge funds, may demand 60-80 hour work weeks, others, like long-only investment firms or larger asset managers (e.g., BlackRock, Fidelity, PIMCO), tend to have more predictable hours, often closer to 8 a.m. to 5 p.m. However, hedge funds are inherently results-driven, and the stress of performance benchmarks can be intense, even if hours are shorter.

  2. Exit Opportunities from Vol Trading:

    • Hedge Funds: Transitioning to a hedge fund is a common path for traders, especially those with strong quantitative and data science skills. Systematic hedge funds or quant-focused funds (e.g., Two Sigma, DE Shaw, Citadel) might align well with your background in data science/ML. These roles often emphasize intellectual stimulation but can still be demanding in terms of hours and stress.
    • Tech Industry: Your STEM background and experience with data science/ML projects make tech a viable exit option. Roles in data science, machine learning engineering, or even product management at tech firms could offer better work-life balance. Companies like Google, Meta, or smaller startups with a focus on AI/ML could be a good fit.
    • Academia or Research: If you enjoy the intellectual aspects of your work but want less stress, consider roles in research institutions or academia, particularly in quantitative finance or data science.
    • Corporate Roles: Transitioning to corporate treasury, risk management, or strategy roles at large corporations could provide a mix of quantitative work and better hours.
  3. Are All Hedge Funds "Sweaty"?
    Not all hedge funds are equally demanding. For example:

    • Quantitative Research Roles: These may offer slightly better WLB compared to trading roles, as they focus more on model development and less on real-time decision-making.
    • Long-Only Funds: These tend to have better hours compared to hedge funds focused on active trading strategies.
    • Pension Funds/Endowments: These roles often have a more relaxed pace compared to traditional hedge funds, with hours closer to 40-50 per week.
  4. Key Considerations for Your Pivot:

    • Networking: Leverage your current role to build connections in both finance and tech. Networking is crucial for smooth transitions.
    • Skill Development: Continue honing your data science/ML skills, as they are highly transferable across industries.
    • Self-Reflection: Consider what aspects of your current role you enjoy most (e.g., intellectual challenge, coding, problem-solving) and seek roles that emphasize those elements while offering better WLB.

If you’re leaning toward tech, your background in data science/ML and experience in high-pressure environments will be highly valued. Similarly, systematic hedge funds or research-focused roles in finance could provide a middle ground between intellectual stimulation and manageable hours.

Sources: Are Hedge Fund Employees Structurally Fed, Work-life balance and hedge fund interview prep questions from a soon to be PhD grad & single parent, Are Hedge Fund Employees Structurally Fed, Hedge Fund Exit Opps, Hedge Fund Careers: Getting a Hedge Fund Job Out of Undergrad and Beyond

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

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