Qualifications:
- Familiar with/interest in financial microstructure data analysis.
- Familiar with C++ on Linux or Unix-like platforms and Object-Oriented programming/ design patterns is preferred
- Past experiences in quantitative/numeric research in Mathematics, Statistics, Computer Science, Physics, or a related STEM field; ML MODEL (XGBoost)
Plus:
- Experience with Linux or Unix-like manipulation.
- Knowledge of database/SQL and version control tools.
- Knowledge of computer systems, multi-threading, network, and performance
optimization.
Responsibility:
- Develop new or improve existing trading models using in-house platforms
- Use advanced mathematical techniques to model and predict market movements
- Analyse large financial datasets to identify trading opportunities
- Provide real-time analytical support to experienced traders