Data Science Intern

Key Responsibilities

• Assist in researching, developing, and implementing predictive models for financial time series analysis.
• Support the development and backtesting of systematic trading strategies utilizing technical indicators, Machine Learning (ML), and Deep Learning (DL) methodologies.
• Contribute to enhancing model performance through feature engineering, hyperparameter optimization, and rigorous evaluation processes.
• Assist senior team members in maintaining, updating, and deploying ML/DL pipelines to ensure reliability and adaptability within live trading environments.
• Work closely with Data Engineers and Developers to facilitate the seamless integration of research models into production systems.
• Participate in monitoring strategy performance and refining models in response to market dynamics and real-world trading results.

Working Hours

08:30 AM – 05:30 PM, Monday to Friday (including a 1.5-hour lunch break).

Yêu cầu ứng viên

Qualifications & Requirements

We are looking for candidates with a solid background in Machine Learning, Deep Learning, and Mathematics, including:

• Strong mathematical foundations, particularly in Linear Algebra, Calculus, Probability, Statistics, and Optimization.
• Good understanding of fundamental Machine Learning concepts, including regression, classification, clustering, data preprocessing, model evaluation, and performance optimization.
• Familiarity with ensemble learning techniques such as bagging and boosting, as well as regularization methods (L1/L2).
• Basic knowledge of neural networks and practical experience working with PyTorch.
• Understanding of common Deep Learning architectures, including RNNs, LSTMs, and CNNs.
• Experience handling time-series data, including data preparation, feature engineering, and predictive modeling.
• Proficiency in Python and hands-on experience with major ML/DL frameworks such as scikit-learn, TensorFlow, and PyTorch.

Preferred Qualifications

• Knowledge of portfolio optimization, risk management, or market microstructure.
• Experience with cloud-based deployment environments or real-time data processing systems.
• Participation in quantitative, data science, or machine learning competitions such as Kaggle, Numerai, or similar platforms.

Quyền lợi được hưởng

• 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.