Tuyển dụng AI Quantitative Researcher Intern tại Hồ Chí Minh

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

• 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)

• 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).