Data Scientist - Risk Analytics & Modelling
On-siteJakarta, Jakarta, Indonesia
Job Summary
Monitor portfolio risk metrics regularly to flag anomalies and emerging trends, then perform root cause analysis when indicators deteriorate to pinpoint driving factors like suspicious behavioral patterns. Translate findings into concrete recommendations and implement adjustments, while building and maintaining SQL-based features, analyses, and dashboards to support ongoing risk surveillance. Conduct occasional model evaluations to support credit scoring improvements and partner with business, product, and engineering teams to solve challenging lending problems. Fresh graduate or Bachelor's degree required with Python, SQL, and Excel experience. Located in a fast-paced environment with a strong team of data scientists.
Required Qualifications
- Fresh Graduate/Bachelor's degree in an analytical or quantitative discipline (e.g. math, statistics, engineering, computer science), however other disciplines will be considered
- Experienced in using statistical computer languages such as Python, SQL, and MS Excel
- Have good communication skills and able to work together in a team
- Excellent problem-solving skills and have the drive to learn and master new technologies and techniques
- Willingness to learn new skills independently and have a strong sense of project ownership
- Not afraid to get your hands dirty exploring data, investigating anomalies, and building SQL-based analyses
- Comfortable working with large tabular datasets to detect trends and anomalies, and communicating findings as actionable recommendations
Desired Qualifications
- Exposure to credit scoring modelling concepts is a plus
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