Machine Learning Researcher – Systematic Equities
I am working with a hedge fund that is seeking to hire a Machine Learning Researcher to join its systematic equities investment team.
Role overview:
The successful candidate will focus on applying machine learning techniques to the research and development of systematic equity strategies. This role involves working with large-scale financial and alternative datasets to identify alpha signals and improve existing models, in close collaboration with portfolio managers and engineering teams.
Key responsibilities:
- Apply machine learning methods to develop and enhance systematic equity signals and models
- Research, test, and validate predictive features across equity markets
- Conduct rigorous backtesting and performance analysis
- Work with large, structured and unstructured datasets, including alternative data
- Collaborate with portfolio managers and engineers to deploy research into production
- Monitor model performance and contribute to ongoing model improvement
Candidate profile:
- Advanced degree in a quantitative field such as Computer Science, Mathematics, Statistics, Engineering, Physics, or a related discipline
- Strong foundation in machine learning, statistics, and quantitative research methods
- Proficiency in Python and experience with ML and data analysis libraries
- Understanding of systematic equity strategies and financial markets
- Ability to communicate research findings clearly and effectively
