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Lead Data Scientist
2 weeks ago
NOTE : Candidates without collections experience, please need not to apply.
Key Responsibilities
- Build and maintain collections models (e.g., repayment prediction, recovery likelihood, segmentation).
- Use Python and SQL to analyze delinquency trends and optimize recovery strategies.
- Develop data-driven customer contact and prioritization strategies.
- Monitor collections performance (roll rates, promise-to-pay, recovery KPIs).
- Collaborate with strategy and operations to implement model-driven decisioning.
Requirements
- 3+ years of experience in data science or analytics (preferably in fintech/lending).
- Expertise in Python and SQL.
- Experience with collections models.
- Strong problem-solving skills and ability to work cross-functionally.
- Solid understanding of collections processes and customer repayment behavior.
- Strong communication skills and the ability to translate data insights into actionable strategies.
- Prior experience in U.S-based fintech is preferred.
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