Quantitative Researcher | Trading Team
Core
Develop mixed-frequency (low/mid) quantitative trading strategies for global equity markets using statistical analysis, machine learning, and data engineering.
Role type
Quantitative Researcher (Stat Arb)
Builds
Predictive trading models and forecasts for global equity markets
Domain
Global Financial Markets / Quantitative Trading
Deliverable
production ML models
Required skills
Statistical analysis, Machine learning, Data engineering, C++, Python, Linux environment
Preferred skills
Developing successful quantitative trading strategies, Forecasting techniques, Neural networks, Linear regression analysis
Technologies
C++, Python, Linux
Responsibilities
Collect and analyze tens of thousands of data sets, Identify patterns and extract insights into global financial market complexities, Apply research results to forecasts and predictive trading models, Collaborate with scientists, traders, and developers to refine new ideas