Alexander Chapman · 6 days ago
Quantitative Machine Learning Researcher
Alexander Chapman is a top-tier hedge fund seeking a Quantitative Machine Learning Researcher to join their team. The role focuses on applying cutting-edge machine learning techniques to large-scale financial data to drive alpha and support systematic trading strategies in a collaborative, research-driven environment.
Responsibilities
3+ years of experience in quantitative machine learning within finance or a related field
Strong hands-on experience with PyTorch and Python
Proven background in developing, testing, and deploying ML models for trading or investment use cases
Solid understanding of financial markets, time-series data, and statistical modeling
Ability to work closely with researchers, traders, and engineers to productionize research
Qualification
Required
3+ years of experience in quantitative machine learning within finance or a related field
Strong hands-on experience with PyTorch and Python
Proven background in developing, testing, and deploying ML models for trading or investment use cases
Solid understanding of financial markets, time-series data, and statistical modeling
Ability to work closely with researchers, traders, and engineers to productionize research