Global Alpha Trader (GLOBAL)
Responsibilities
- Use quantitative methods to systematically build medium-frequency portfolios
- Develop systematic strategies across various asset classes
- Apply machine learning and statistical techniques to trading
- Simulate and execute strategies on the Trexquant Alpha Platform
Requirements
- A higher education degree (bachelor's, Master's and Ph. D. degrees) in Math, Engineering, Statistical Modeling, Computer Science or other related fields
- At least one year of proven track record in operating systematic strategies in any asset class
- Strong quantitative skills and proficiency in numerical tools such as NumPy and Pandas on Python
Benefits
- Compensation based on a percentage of profits generated by your strategies
- Flexibility to work remotely
- Access to proprietary technology platforms which encompasses working with data, alpha development and strategy formulation
- Mentoring and guidance from experienced portfolio managers and traders
About the Program
The purpose of the GAT program is to draw in traders who possess profitable strategies and wish to operate them on a well-established platform without the need to build everything from the ground up. The hiring process involves an initial interview, a subsequent interview to evaluate feasibility, and a final interview by a senior member of our team. Training includes comprehensive training on the Trexquant Alpha Platform.
GATs are responsible for simulating their strategies on the Trexquant Alpha Platform and executing them once approved, aiming to generate profits in line with the expected performance of their strategies. Compensation is based on a percentage share of the profits generated by their strategies. GATs have the option to work remotely, provided both parties agree on a suitable arrangement.