As a member of the Strategy team at Trexquant, you will be developing systematic strategies based on a variety of machine learning and statistical methods. The data you train and validate comes from actual market trading.
Responsibilities
- Development, implementation, and optimization of machine learning models aimed at predicting equity market dynamics using a wide set of financial data and a vast library of trading signals
- Use your methods to create systematic trading strategies and run fund capital in global markets
- Investigate and implement recent academic research
- Collaborate with experienced quantitative researchers and other Strategy Researchers
Desired qualifications
- A post-graduate degree in a technical discipline (mathematics / physics / finance / others)
- Programming experience (Python, MATLAB, other languages)
- Knowledge of probability theory, machine learning, and optimization concepts
- Ability to work independently and take projects to completion, ability to quickly learn about new systems, ability to communicate complex concepts, creative thinking, and attention to details
Benefits
- Competitive salary plus bonus tied to the performance of strategies you develop
- Comprehensive benefits including healthcare and insurance