Python Quant Developer
Job Summary: I am working with a highly successful equity trading pod that is seeking a talented and motivated Junior Python Quant Developer to join their systematic research and development team. The ideal candidate will have 1-3 years of experience in Python programming and a strong interest in quantitative finance. This role involves developing and maintaining quantitative models and tools to support the trading strategies and risk management processes.
Key Responsibilities:
- Collaborate with senior quants, developers and traders to design, develop, and maintain Python-based quantitative models and tools.
- Implement and optimize algorithms for trading strategies and risk management.
- Develop and support real-time data processing and analytics systems.
- Write clean, efficient, and well-documented code following best practices in software development.
- Conduct data analysis and backtesting to validate and improve trading models.
Qualifications:
- Bachelor's degree, or higher, in Computer Science, Engineering, Mathematics, or a related field.
- 1-3 years of full-time experience in a related role.
- Strong understanding of data structures, algorithms, and software design principles.
- Basic knowledge of financial markets and quantitative finance.
- Experience with data analysis libraries such as Pandas, NumPy, and SciPy.
- Experience with financial applications or trading systems.
- Understanding of market data feeds and APIs (e.g., Bloomberg, Reuters).
- Experience with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes).
- Knowledge of machine learning techniques and libraries (e.g., scikit-learn, TensorFlow).