Risk Modeling Senior Executive
Hạn nộp hồ sơ: 31/10/2026 (Còn 16 ngày)
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Mô tả công việc
Mô tả Công việc
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.
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.
Yêu cầu
Yêu Cầu Công Việc
JOB REQUIREMENT:
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.
JOB REQUIREMENT:
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.
Thông tin chung
- Thu nhập: Cạnh tranh
Nơi làm việc
- 91 Pasteur, P. Sài Gòn, TP HCM
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Xem trang công ty- Địa chỉ công ty: 91 Pasteur, Phường Bến Nghé, Quận 1, TP. Hồ Chí Minh
- Quy mô: Từ 5000 - 10000 nhân viên
- Lĩnh vực: Kinh doanh, Ngân hàng/ Tài Chính, Chứng khoán - Vàng
Thông tin công việc
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