Chuyên viên, Chuyên viên cao cấp Phân tích dữ liệu và xây dựng mô hình phát hiện gian lận - Khối Quản trị rủi ro (HO25.470)

Job Description:Research and apply data analysis techniques in fraud detectionResearch and build Machine Learning, Deep Learning models (Random Forest, XGBoost, Neural Network, LSTM, etc.) for fraud detectionImplement Rule-based/Model systems in the Bank’s fraud detection systemManage, test, and improve the deployed Rules/ModelsWork directly with the MB’s Big DataReceive in-depth training with experts in fraud risk managementJob Requirement: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 https://careers.mbbank.com.vn/home-page.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 https://careers.mbbank.com.vn/home-page?- Your application will be assessed quickly.- For applications that meet all the required information and recruitment criteria, MB Bank will proactively contact you for an interview within one week from the date of receiving your application.- Applicants should regularly check their email and phone to ensure they don't miss the interview schedule.