データサイエンティスト（証券事業）

Experience in analysis using Python or R Knowledge and skills to perform basic data operations with SQL Passion for creating new business opportunities Communication skills to execute projects in collaboration with multiple teams and stakeholders Experience leading projects Experience with general machine learning frameworks (TensorFlow, PyTorch, etc.) and libraries (scikit-learn, NumPy, pandas, etc.) (desirable) Experience in building models for business and service growth, and setting target KPIs (desirable) Practical experience in the financial domain (desirable) Experience collaborating with development teams for tracking specification creation and implementation direction (desirable) Experience designing and operating MA tools (desirable) Business English proficiency (desirable)

Analyze existing user investment behavior and segmentation. Verify optimization measures through transaction patterns and market trend analysis. Analyze income and expenditure patterns using PayPay payment data. Measure the effectiveness of customer churn prediction and engagement improvement initiatives. Develop and implement 1-to-1 recommendation models. Develop personal portfolio profit/loss analysis and agent functions using generative AI. Build investment signals by fusing PayPay payment data and investment data. Explore data combinations to create new value, from PoC to MVP and product implementation.