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 prior experience using Deep Learning to generate alpha.





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


- A master’s or PhD from a top-tier university in a quantitative discipline such as computer science, statistics, etc.
- 3+ years of alpha research, 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.