Job Description
- Supervise working process involving data gathering and development of credit scoring mechanism
- Conduct analysis and research on the obtained data to develop a credit-scoring mechanism
- Monitor the implementation of credit scoring mechanism, and propose development periodically based on evaluation
- Collaborate with internal and external parties to develop an analytical model for credit acquisition, early detection and monitoring, or any other needs by using technologies
- Conduct review, monitoring, and evaluation of various solution given based on issues about credit risk obtained by data analytics
Qualification
- Bachelor’s degree of Statistics/Mathematics/Computer Science
- Professional experience at least 3 (three) years in Data Scientist/Risk Modeler/Credit Scoring function in financial industries
- Experienced in developing scorecards, especially for electronics and vehicle financing product
- Strong understanding of advanced programming language such as Python and R, especially logistic regression
- Strong understanding of relational database in PostgreSQL, also complex SQL script
- Strong understanding of statistical testing and hypothesis testing methods, machine learning, and data visualization
- Experienced in using reporting tools such as Tableau, Power BI, GDS etc.
