Key responsibilities include:
- Advanced Scoring Ecosystem: Lead the development, backtesting, and optimization of full-cycle credit scoring models, including A-Score (Application), B-Score (Behavior), C-Score (Collection), D-Score (Drop-off), F-Score (Fraud), IFRS9 ECL model, …
- AI/ML Innovation: Implement Machine Learning algorithms (XGBoost, LightGBM, CatBoost, Neural Networks) to enhance model performance (Gini/AUC) and drive the "Automation" initiative for instant credit decisions.
- AI Agentic Frameworks: Research and deploy Agentic AI architectures to automate complex risk reasoning tasks, enabling autonomous AI agents to interact with multiple data sources and internal systems for real-time risk assessment and decision support.
- End-to-End Model Governance: Oversee the entire modeling lifecycle from data gathering, feature engineering, and cleansing to technical documentation, validation, and regulatory compliance.
- Strategic Collaboration: Act as the primary technical liaison for external fintech partners (NICE, Trusting Social, Viettel, VNPT) and internal departments (IT, Data, Policy) to integrate models into live operation flows.
- Performance Monitoring & Reporting: Continuously monitor model stability and portfolio quality using SQL/Python. Provide high-level analytical reports and strategic recommendations to the Board of Directors (BOD) and Risk Management Committee (RMC).
- Team Mentorship: Supervise and quality-control the output of Modeling Executives, providing guidance on technical execution and career development.
- Coordinate with DIC in AI integration strategies, automation projects of the Company.
- Other tasks assigned by the line manager.
