Data Analysis And Fraud Model Specialist/Senior Specialist Full-Time 2024

Job Description:
Research and apply data analysis techniques for fraud detection;
Research and develop Machine Learning and Deep Learning Models (Random Forest, XGboost, Neural Network, LSTM, ...) for fraud detection;
Deploy Rules-base/Model on the Bank's fraud detection system;
Manage, test and enhance deployed Rules/Model;
Job Requirements:
Background knowledge in Finance, Statistics, Data Mining, and Machine Learning.
Proficiency in programming languages used for data analysis such as Python, SQL, and R.
Experience working with business financial systems of financial/credit institutions is a plus.
Experience in building and applying models (such as Probability of Default (PD), Fraud Detection) in practice is an advantage.
Foreign language proficiency: minimum TOEIC score of 700 or equivalent.
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