Senior Data Scientist - Credit Risk
On-siteSingapore, Singapore or Jakarta, Jakarta, Indonesia
Job Summary
Design, build, and productionise machine learning models for credit scoring, risk profiling, fraud detection, and customer segmentation, while calibrating scoring logic to improve predictive performance. Prepare and maintain model documentation, drive models through internal review and sign-off, and ensure alignment with regulatory standards. Perform deep-dive analyses to uncover trends, translate findings into data-driven narratives, and build self-serve tools and monitoring frameworks. Build and maintain scalable model pipelines supporting the end-to-end lifecycle, automate workflows to reduce operational overhead, and mentor junior data scientists through technical reviews. Lead high-impact data science initiatives from problem scoping to final delivery.
Required Qualifications
- 5+ years of experience in data science
- Experience in the fintech or financial services industry
- Proven experience developing and deploying machine learning models in a production environment
- Strong background in statistical analysis and machine learning
- Experience navigating formal model governance processes (documentation, committee review, sign-off) in a regulated environment
- Comfort incorporating AI-assisted tools (e.g. code generation, automated documentation) into day-to-day model development
Desired Qualifications
- Expertise in credit modelling and risk management
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