Campus Quantitative Researcher | Trading Team PhD/Postdoc (Full-Time)
Core
Develop models and trading strategies in systematic macro by collecting, analyzing, and extracting insights from tens of thousands of financial data sets.
Role type
PhD-level quantitative researcher (systematic macro)
Builds
predictive trading models and alpha research on new datasets
Domain
Financial markets / Systematic trading
Deliverable
production ML models
Required skills
statistical analysis, machine learning, data engineering, Python programming, hypothesis formation, rigorous experimental design, end-to-end project ownership
Preferred skills
advancing machine learning within trading, creativity, initiative, perseverance
Technologies
Python
Responsibilities
collect and analyze large-scale financial data sets, identify patterns and extract insights, apply research results to forecasts and predictive trading models, collaborate with scientists, traders, and developers, own research projects end to end
Seniority
PhD/Postdoc level, individual contributor