Job description
Key Responsibilities
- 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
Your skills and experience
- 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
Nice to Have:
- Knowledge of portfolio optimization, risk management, or market microstructure
- Experience with cloud deployment or real-time pipelines
- Participation in competitions (e.g., Kaggle, Numerai)
Why you'll love working here
- 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).
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