Machine Learning Quantitative Researcher

Machine Learning/Deep Learning Quantitative Researcher – 3+ years - Chicago/NYC

Anson McCade are working with a leading multi-strategy hedge fund with teams based globally. The firm is hiring a mid-senior level Quantitative Researcher for a mid-frequency Cash Equity team based in the US, and are targeting profiles with PhDs and strong prior experience using Deep Learning to generate trading signals.

Responsibilities:

• Build and maintain research/trading pipelines from data ingestion and signal generation through to execution.
• Research and develop predictive features from market data and alternative data, graduating ideas through to validation and production.
• Collaborate with other researchers/developers and the Senior Portfolio Manager to implement and manage strategies in live trading.
• Use academic advancements in Machine/Deep Learning to develop and implement novel approaches to research.

Requirements:

• Ideally a PhD from a top-tier university in a quantitative discipline such as computer science, statistics, etc., master's holders will also be considered.
• 3+ years of research experience, with a focus on machine learning, deep learning, LLMs/NLP, and strong experience with overfitting-control.
• Expert-level Python.
• C++ experience is preferred but not required.