About Job

The Risk Modeler will be responsible for developing, implementing, and maintaining risk scorecards and/or models, providing regular risk monitoring reports to maintain risk exposure at an acceptable level, creating analytic-based marketing segmentation, and providing accurate analysis/models to support good portfolio growth and optimized risk-return decisions.

This role entails heavy collaboration with related Business Units to drive new features implementation based on qualitative feedback. The ideal candidate will have a deep understanding of risk modeling techniques, data analysis tools, and statistical/mathematical methods, as well as excellent communication and teamwork skills.

Job Description

1. Develop, implement, and maintain risk (credit / fraud) scorecard and/or model.

2. Provide regular risk monitoring report with purpose to maintain risk exposure at acceptable level

3. Create analytic based marketing segmentation

4. Provide accurate analysis/model to support good portfolio growth and optimized risk-return decision.

5. Credit risk scorecards development (inhouse development_, implementation, and monitoring (application, behavior, collection, recovery, and revenue scorecard). Implement scorecards and analytic tools.

6. Collaborate with related BU's in order to drive new features implementation based on qualitative feedback.

Requirements

1. Having a total work experience of at least 2 years, with a minimum of 1 years in the same field.

2. Holding a bachelor's degree, preferably in Statistics, Mathematics, Computer Science (IT), Computer Engineering, Information Technology, Information Systems, Data Science, or STEM-related fields (Science, Technology, Economics, Mathematics).

3. Having at least 2 years of experience in the banking or financial industry.

4. Having experience in model development, model validation, or similar areas.

5. Possessing technical skills/knowledge in data analysis using tools such as R, Python, SQL, SAS, etc.

6. Having analytical skills and the ability to understand statistical/mathematical models and methods, as well as their applications in the financial industry.

7. Having strong communication skills, teamwork abilities, problem-solving skills for complex issues, and proficiency in English.