ผู้ชำนาญการวิเคราะห์และพัฒนาแบบจำลองการบริหารความเสี่ยงด้านปฏิบัติการและจัดการการทุจริต

สถานที่ปฏิบัติงาน: ธนาคารกสิกรไทยสำนักงานใหญ่สาขาราษฎร์บูรณะ

• Analyse and formulate fraud prevention/business problems into practical analytics solutions
• Manage to have all necessary data available timely
• Design model validation and model maintenance based on Analytics Modeling Process Framework
• Develop models and fraud prevention/detection solutions by using predictive analytics, statistics, optimization, and machine learning techniques
• Research on new cutting-edge technology & techniques in Machine Learning, Artificial Intelligence or related technical fields
• Work closely with business teams and IT solution architecture team to ensure delivering practical analytics solutions on time
• Deliver clear and actionable recommendations to all stakeholders

• Minimum 1 year of Analytics Model coding using R / Python / Scala / Java / C# / C++
• Minimum 1 year implementing or involving ETL tools & Data Preprocessing process
• Sound Knowledge in Data Science and Analytics models (machine learning, Statistics, Optimization, etc.)
• Demonstrate a keen interest in working with big data, and fair understanding of Hadoop technology
• Positive attitude and Team-working mindset
• Master's Degree in quantitative fields such as Data Science/Analytics, AI, Engineering, Operations Research, Computer Science/Engineering, etc.