Data Science Intern

We are seeking a highly motivated and detail-oriented Data Scientist to join our team. The ideal candidate will be responsible for designing, optimizing, and maintaining end-to-end models that analyze and forecast price movements based on financial data. You will contribute to building data-driven investment strategies using technical analysis and advanced techniques in machine learning (ML) and deep learning (DL).

Key Responsibilities:

• Supporting senior to 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 to 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
  
  

An ideal candidate should have a strong foundation in Machine Learning, Deep Learning, and Mathematics, including:

• Strong foundation in mathematics, covering: Linear Algebra, Calculus, Probability, Statistics, and Optimization
• Solid understanding of core ML concepts: Regression, classification, clustering, model evaluation & optimization, data preprocessing
• Familiarity with ensemble methods (bagging, boosting) and regularization techniques (L1/L2)
• Basic knowledge of neural networks and practical experience with PyTorch
• Familiarity with deep learning architectures: RNNs, LSTMs, CNNs
• Experience working with time series data, including preprocessing, feature extraction, and modeling
• Proficient in Python, with hands-on experience using ML/DL libraries such as scikit-learn, TensorFlow, and PyTorch
• Strong analytical thinking and problem-solving skills

Nice to Have:

• Knowledge of portfolio optimization, risk management, or market microstructure
• Familiarity with cloud-based deployment or real-time data processing
• Participation in quantitative competitions (e.g., Kaggle, Numerai)
  
  

• 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.