Is 0->Offer in 6 months delusional post-grad

Based on the most helpful WSO content, transitioning into quant trading from your current background is challenging but not impossible. Here's a breakdown of your situation:

1. Raw Aptitude vs. Industry Expectations:

   • Quant trading roles often require a strong foundation in mathematics, programming, and problem-solving. Your math background (4× AIME, top state school, 3.5 GPA) suggests you have the raw aptitude to clear the technical thresholds.
   • However, aptitude alone isn't enough. Firms look for demonstrated skills in areas like stochastic calculus, numerical methods, or machine learning, as well as proficiency in programming languages like Python or C++.

2. Preparation Timeframe:

   • While 100-200 hours of prep might help you clear some technical interviews, it’s unlikely to fully bridge the gap without prior exposure to the quant trading environment or a structured program like an MFE.
   • Many successful candidates either come from a direct pipeline (e.g., top-tier undergrad programs with quant internships) or have pursued advanced degrees (MFE, PhD) that align with the industry’s technical demands.

3. Cost Structure of Investigating:

   • The cost of investigating and applying includes time spent learning advanced topics (e.g., stochastic calculus, convex optimization), building a portfolio of projects, and networking with industry professionals.
   • Without prior experience or a direct pipeline, you’ll need to demonstrate your interest and capability through personal projects, competitions (e.g., Kaggle, quant trading challenges), or certifications.

4. Realistic EV (Expected Value):

   • The EV of pursuing quant trading depends on your willingness to invest significant time and effort into upskilling. If you find the subject matter genuinely interesting, the journey itself could be rewarding, even if it doesn’t lead to an immediate offer.
   • Smaller quant shops or firms with less rigid hiring pipelines might be more open to candidates with unconventional backgrounds, provided you can showcase your skills effectively.

5. Alternative Pathways:

   • Consider roles that bridge your current experience and quant trading, such as data analytics or risk management, to build relevant skills while staying in the finance domain.
   • Networking is crucial. Reach out to alumni or professionals in the field to gain insights and potentially secure referrals.

In summary, while sheer brainpower and focused preparation can help, breaking into quant trading without a direct pipeline or advanced degree is an uphill battle. If you’re serious about this pivot, be prepared to invest heavily in learning and networking.

Sources: How do you become a Quant Trader?, Q&A: Current junior quantitative researcher, Good time for a new analyst to join L/S hedge fund?, Career switch into quant trading - viable?, Reneging on offer