Job Description
Glenbrook Trading seeks a talented Quantitative Researcher to join our team. In this role, you will develop and test statistical models to identify trading opportunities and enhance our predictive capabilities. Your research will be instrumental in refining our strategies and driving the firm’s success in algorithmic trading. This is a hybrid, commission-based position with compensation calculated from net revenue generated. Net revenue is defined as the total revenue from your contributions minus direct costs.
Key Responsibilities
- Conduct rigorous statistical analysis and develop predictive models to extract alpha from market data.
- Design and test new trading strategies using historical and real-time data.
- Collaborate with algorithm developers and quantitative traders to integrate research findings into live trading systems.
Qualifications
- Strong analytical skills and a self-starter mentality.
- Currently pursuing or recently completed a Bachelor’s or Master’s degree in: Mathematics, Statistics, Computer Science, Quantitative Finance, or any other related STEM field.
- Preferred: 1+ years of research experience or professional experience in quantitative trading, statistical modeling, or machine learning.
- Strong technical skills in data analysis and modeling, with the ability to make data-driven decisions.
- Proficiency in Python, R, MATLAB, SQL.
- Experience with Jupyter Notebooks for research is a plus.
- Minimum GPA: 3.5/4.0