Risk Modeling Senior Executive

Lương không công khai

Hồ Chí Minh

Nghỉ trọn T7, CN

Hạn chót 10/10/2026

Đăng 13 ngày trước

Ít hơn 20 ứng viên

Yêu cầu công việc

- Education: Bachelor or Master’s degree in Finance, Banking, Economics, Data Science, Data Analytics, MIS, or related fields - Experience: At least 3 years of experience in Credit Risk Modeling or Data Analytics in the banking/consumer finance industry. - AI/ML Mastery (Mandatory): Proficient in Python and its libraries (Scikit-learn, etc.) for building advanced predictive models. Deep understanding of Machine Learning frameworks. - Technical Skills (Mandatory): Expert knowledge of SQL/Oracle for complex data extraction. Experience with visualization tools (PowerBI/Tableau) and automation (VBA) is a plus. - Digital Mindset: Deep understanding of the Digital Customer Journey, digital financial products, and Alternative Data. - Regulatory & Risk Knowledge: understanding of SBV Circulars (Circular 39, 18, 14, 27), Basel II/III pillars, and Vietnam's consumer finance landscape is a plus. - Soft Skills: Excellent leadership and communication skills; ability to translate complex technical concepts into simplified strategic insights for senior management.

Yêu cầu nên có

Experience with visualization tools (PowerBI/Tableau) and automation (VBA) Understanding of SBV Circulars (Circular 39, 18, 14, 27), Basel II/III pillars, and Vietnam's consumer finance landscape

Công việc cụ thể là gì?

As a Senior Credit Risk Modeling Specialist, you will design, implement, and optimize our credit scoring ecosystem. By bridging advanced data science with strategic risk management, you will oversee the development of AI/ML credit scoring models that power automated decision-making. Your role is critical in ensuring our models meet rigorous statistical standards and maintain highly efficient and stable operations. Key responsibilities include: 1. 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, … 2. 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. 3. End-to-End Model Governance: Oversee the entire modeling lifecycle from data gathering, feature engineering, and cleansing to technical documentation, validation, and regulatory compliance. 4. 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. 5. 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). 6. Team Mentorship: Supervise and quality-control the output of Modeling Executives, providing guidance on technical execution and career development. 7. Coordinate with DIC in AI integration strategies, automation projects of the Company. 8. Other tasks assigned by line manager. • Cấp bậc: • Loại công việc:

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Risk Modeling Senior Executive

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