Quantitative Researcher
You will collect and analyze extensive datasets from global financial markets, identify patterns, and extract insights to develop forecasts and predictive trading models. You will use statistical analysis, machine learning, and data engineering while collaborating with scientists, traders, and software and hardware developers on mixed-frequency strategies.
Responsibilities
- Collect and analyze financial datasets
- Identify patterns in global financial markets
- Extract insights from traded products and exchanges
- Apply statistical analysis and machine learning
- Apply data engineering techniques
- Develop forecasts and predictive trading models
- Collaborate with scientists, traders, and hardware and software developers
- Develop mixed-frequency trading strategies
Requirements
- Experience leveraging forecasting and machine learning techniques
- Bachelor's, Master's, or PhD in Computer Science, Statistics, Physics, Mathematics, or a related subject
- Strong programming skills in C++ and Python in a Linux environment
- Ability to work in a collaborative, team-driven, fast-paced environment
- Experience developing successful quantitative trading strategies is highly preferred