Chuyên Gia Phân tích dữ liệu và xây dựng mô hình phát hiện gian lận - Khối Quản trị rủi ro (2026TD453499)

Job Description
Research and apply data analysis techniques in fraud detection
Research and build Machine Learning, Deep Learning models (Random Forest, XGBoost, Neural Network, LSTM, etc.) for fraud detection
Implement Rule-based/Model systems in the Bank's fraud detection system
Manage, test, and improve the deployed Rules/Models
Job requirements
Graduated with a degree in Economics, Business Administration, Banking and Finance, Data Science, Economic Mathematics, Financial Mathematics, or related fields.
Strong foundation in Finance, Statistics, Data Mining, and Machine Learning.
Proficient in programming languages for data analysis such as Python, SQL, R, etc.
Experience working with financial systems in financial or credit institutions is an advantage.
Experience in developing and applying models (PD, Fraud Detection) in practice is a plus.
Foreign language proficiency: Minimum TOEIC score of 700 (or equivalent)
Application Instructions:
Apply directly on the MB Bank recruitment page on [protected info]
MB Bank requires applicants to provide the following details:
Personal information: Full name, Date of birth, Gender
Contact phone number and Email
Education level, Graduating school
Work experience
3 to 5 standout skills
Recruitment source
Why should you apply directly via [protected info]
Your application will be assessed quickly.
Applicants should regularly check their email and phone to ensure they don't miss the interview schedule.