Job description
- Supporting senior in research, design, and implement predictive models to analyze financial time series data
- Try to develop and backtest systematic trading strategies based on technical indicators, ML/DL models, and other data-driven approaches
- Optimize model performance through feature engineering, hyperparameter tuning, and robust evaluation techniques
- Supporting senior in maintain, update, and deploy ML/DL pipelines to ensure stability and adaptability in live trading environments
- Collaborate with data engineers and developers to ensure smooth integration of research models into production systems
- Monitor and refine strategies based on real-world performance and changing market conditions
- Stay up to date with the latest research and techniques in quantitative finance, ML/DL, and algorithmic trading
Your skills and experience
- Solid grounding in Mathematics and Statistics (linear algebra, probability, inference, optimization)Experience with end-to-end data workflows: data processing, exploration, feature design, and validation
- Practical experience in building ML models for prediction and pattern discovery (regression, classification, clustering)
- Understanding of model robustness: cross-validation, error analysis, and metric-driven evaluation
- Familiarity with tree-based models (Random Forest, Gradient Boosting) and regularization techniques
- Basic knowledge of neural networks; exposure to PyTorch or TensorFlow preferred
- Experience handling structured datasets and temporal/sequential data
- Strong proficiency in Python and data ecosystem tools (pandas, NumPy, scikit-learn)
- Ability to synthesize insights from data and communicate findings clearly and concisely
- Strong problem-solving mindset with attention to data integrity and modeling assumptions
Why you'll love working here
- Opportunity to access and work directly with financial data, and to build market analysis models.
- A young, dynamic working environment with chances to develop skills and learn from industry experts.
- Initial financial support starts at 3 million VND, with potential increases throughout the internship depending on performance and demonstrated capability.
- Lunch allowance is provided, and working hours are flexible to fit your schedule.
- Opportunities to join annual 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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