AI Quantitative Researcher Intern

• 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)

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).