Your Possibilities Begin at KBank

Customer Centricity | Organization-wide Teamwork | Professionalism | Innovation

KBank has placed our importance on the caring of our employees. We believe a positive work environment, skill development, creation of motivation, good occupational health practices, and attractive welfares can drive employees to perform their duties at their fullest potential. This will, in turn, bring about impressive services rendered to our customers and general public, making KBank performance achieve the goal with sustainable growth.

• ผู้ชำนาญการวิเคราะห์และพัฒนาแบบจำลองการบริหารความเสี่ยงด้านปฏิบัติการและจัดการการทุจริต
• 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.