Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Thực tập sinh
Ngành nghề
Ngành nghề khác
Mức lương
Thương lượng
Địa điểm
Quận Bắc Từ Liêm, Hà Nội, Hà Nội
Tổng quan
- Support to design and implement predictive models for financial time series
- Develop and backtest trading strategies using technical indicators and ML/DL
- Optimize model performance (feature engineering, hyperparameter tuning, evaluation)
- Deploy and maintain ML/DL pipelines in production
- Work with engineers to integrate models into live systems
- Monitor and improve strategy performance based on market changes
- Keep up with the latest in quantitative finance and AI
Yêu cầu
- Proficient in Python, with strong analytical thinking and problem-solving skills
- Solid foundation in mathematics, statistics, and probability, including:Linear Algebra, Calculus, Probability, Statistics, and Optimization
- Familiar with core machine learning techniques: Regression, classification, model evaluation, ensemble methods.
- Basic knowledge of deep learning, with hands-on experience using PyTorch
- Experience working with time series data, including preprocessing and modeling
- Experience in backtesting and evaluating trading strategies
- Good understanding of technical analysis and financial market
- Knowledge of portfolio optimization, risk management, or market microstructure
- Experience with cloud deployment or real-time pipelines
- Participation in competitions (e.g., Kaggle, Numerai)
- Python, PyTorch, AI, Internship Accepted
Quyền lợi
- You will have the opportunity to learn about stock market analysis and investment.
- We offer a youthful, open, and collaborative working environment, where you'll work with intelligent and talented colleagues.
- Initial financial support starts at 3 million VND, with potential increases throughout the Traineeship depending on performance and demonstrated capability.
- Lunch allowance is provided, and working hours are flexible to fit your schedule.
- Enjoy annual company trips and team-building activities.
- Working Hours: 08:30 AM - 17:30 PM, Monday to Friday, with 1,5 hours lunch break (Interns can have flexible working hours to accommodate their class schedules).
Cổ phần / ESOP
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