Mô tả công việc
Cooperate actively with model providers to develop, implement, test and validate the Credit Scoring Models, include Application Scoring System, Behavior Scoring System, Collection Scoring System, Propensity Scoring System, etc.
Apply the results of all Credit Scoring Systems to all matter of the business, if possible, to the entire consumer credit life cycle, including underwritng, x-
sales and topup, debt collections, etc.
Continuously analyze the effectiveness of models to optimize the application of all of the scoring systems to enhance credit portfolio quality and keep portfolio heathy and sustainable.
Cooperate actively on technical level with IT and data warehouse teams.
Provide input to Portfolio Quality Review meetings
Yêu cầu công việc
Qualification & Experience
Min. 1 years of experience in data science related job in an credit institution maintaining retail customer data.
Experience of risk management practices within the Vietnam banking / consumer finance industry and familiarity with credit risk exposure calculation methodologies & tools would be desirable but not essential.
Knowledge & Skills
Good knowledge and experience in business statistics, preferaly, consumer finance industry.
Experience in Data Profiling and Data Cleansing.
Working knowledge of ETL technologies and associated implementation methodologies.
Strong SQL skills to support analysis of data.
Excellent interpersonal skills in dealing with key stakeholders.
A track record of delivering to aggressive deadlines.
Enthusiastic in detail of data and numbers
Fluent in English, both verbal and written
Experience in Data Profiling and Data Cleansing >
Experience in Data Profiling and Data Cleansing, Exploratory, Inferential Statistics, Modelling & Prediction. .
Bảo hiểm theo quy định, Du Lịch, Phụ cấp, Thưởng, Đào tạo, Tăng lương, Công tác phí