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We're hiring: Analyst - Data Scientist (Credit Risk) with a US based Analytics Company.
Location: Remote
Education: BE / B.Tech from Top colleges
Role Overview:
Looking for an analytics professional with strong experience in LTV modelling, risk-reward trade-off, and credit card portfolio analytics-especially within the U.S. credit cards space.
Key Responsibilities:
- Build & enhance LTV, credit risk, and profitability models
- Drive risk-reward optimization for acquisition & portfolio strategies
- Perform data extraction, validation, and ad-hoc analytics
- Lead portfolio performance tracking & insights
- Develop credit policies, limit strategies, and lifecycle interventions
- Run profitability segmentation and scenario modelling
- Analyze internal + bureau datasets for portfolio health
Requirements:
- 2+ years in credit cards, lending, or portfolio risk
- Strong in LTV modelling, risk-reward, and profitability analytics
- Hands-on Python/R + SQL for modelling & data manipulation
- Experience with predictive models (logistic, tree-based, GBM, survival)
- Familiar with U.S. credit systems & bureau data
- Strong communication for business & technical stakeholders
- (Preferred) Experience with AWS/GCP/Azure, Spark/Databricks, Tableau/Power BI
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