Quantitative Researcher, Machine Learning

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.

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.

• 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

• 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