Data Scientist Python, Pytorch, TensorFlow

• Research, design, and implement machine learning models to support the financial advisory application capabilities.
• Conduct time-series analysis, statistical modeling, and predictive analytics for stock, ETF, and crypto data.
• Develop and evaluate portfolio optimization models and risk assessment frameworks.
• Perform faeature engineering and data exploration in collaboration with Data Engineering and Quant teams.
• Validate and explain models to ensure accuracy, transparency, and compliance in financial applications.
• Work with AI Engineers to integrate models into production.

• Strong foundation in statistics, probability, econometrics, and machine learning.
• Proficiency in Python and libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow.
• Experience with time-series forecasting, risk/return modeling, and quantitative finance metrics (Sharpe ratio, volatility, drawdown, ...).
• Familiarity with portfolio theory, asset allocation, and financial data sources.
• Ability to design experiments, backtesting, and validation pipelines.
• Strong analytical and problem-solving skills; able to translate research into product-ready solutions.
• Experience in fintech, trading systems, or wealth management is a plus.

BENEFIT

• Salary: Negotiation (very competitive with periodic performance-based reviews).
• Young, dynamic, and flexible working environment.
• Work alongside a highly skilled tech team, with opportunities to maximize your potential.
• Weekly training and seminars on AI and Quantitative Finance, delivered by PhD-level experts from KIT University and Senior Quant Researchers from WorldQuant
• Full benefits package according to Vietnamese Labor Law and company policy.

ADDITIONAL INFORMATION

• Working hour: 9:00 - 18:30; Monday - Friday, Onsite. Saturday's Seminar: afternoon, online/onsite
• Location: The Legend Tower, 109 Nguyen Tuan, Thanh Xuan, Ha Noi.