Quantitative Researcher
A Day in the Life
“Your morning starts with checking overnight model performance and scanning for regime changes. By 10am, you're deep in a Jupyter notebook testing a new signal hypothesis — maybe Hurst exponent interactions with volume profile. After lunch, you present your latest walk-forward results to the team: "87% OOS retention, PBO = 0.11." The PM nods. Your signal gets added to the production pipeline. You spend the afternoon reading three new papers from arXiv on regime detection.”
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