Qualifications:
- Academic background or strong interest in financial market microstructure data analysis
- Proficiency in Python or similar programming languages
- Educational background in Statistics, Mathematics, Computer Science, Physics, or related STEM fields
- Fundamental understanding of quantitative research methodologies and lightGBM, XGBoost or any machine learning packages
Preferred Qualifications:
- Experience with C++ on Linux or Unix-like platforms
- Knowledge of database management and SQL operations
- Familiarity with version control systems (Git)
- Research competencies and experience
Responsibilities:
- Assist in developing and enhancing existing trading models and strategies
- Support financial data analysis and market research projects
- Provide analytical support to experienced traders and researchers