Data Scientist (Scoring Model

Responsibilities

• Develop and implement robust scoring models (application scorecards) for car loan products to support business.
• Explore alternative data to enhance the scorecard model performance on top of traditional credit data by incorporating with other provider such as Telco, E-commerce.
• Continuously monitor, improve, and validate the models’ performance and research on the latest modeling methodology and best industry practices, while meeting all regulatory requirements.
• Able to keep identifying the credit/business issues to find solutions or quality improvements using scoring/modeling/analytics tools.
• Cooperate with product and tech team and risk team for the implelementation strategy of the scoring model.

Requirements

• At least a Bachelor’s degree with excellent GPA in Math, Statistic, Computer Science, Risk Management or Engineering.
• Minimal 3+ years experience in lending as data modeling/data engineer/scoring analyst that have experience to deploy, and maintain the scoring model. Certification is a plus.
• Experience of SQL, and Python programming (Phyton is mandatory), knowledge of Statistical/Machine learning algorithm such as Logistic Regression, and Gradient boost (XGBoost/CatBoost), KMeans.
• Understand and experience to validate the model accurately and make recomendations based on the analytisc.
• Knowledge in retail loans of FI, credit risk and business process and experience in doing data profiling, mapping attributes, ETL, to support the scoring creation.
• Hardwork and highly motivated person that can work under pressure.
• Solid oral and written Indonesian and English communication skills and able to communicate terms to users.