Tuyển dụng AI Quantitative Researcher Intern tại Hà Nội

• 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.

Yêu cầu công việc

• 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).
• Working Hours: 08:30 AM - 17:30 PM, Monday to Friday, with 1,5 hours lunch break (Flexible working arrangements are available for interns to accommodate their academic schedules. Interns are expected to complete a minimum of 70% of the standard monthly working hours).
• Quyền lợi được hưởng
• 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 internship 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.