Data Scientist Python, Pytorch, TensorFlow

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

Yêu cầu công việc

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

BENEFIT

Young, dynamic, and flexible working environment.
Salary: Negotiation (very competitive with periodic performance- based reviews).
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&039;s Seminar: afternoon, online/onsite
Location: The Legend Tower, 109 Nguyen Tuan, Thanh Xuan, Ha Noi.

Cập nhật gần nhất lúc: 2025-09-19 03:30:03