Risk Analyst – Data Science & Analytics
Experian (company site, opens in a new tab)3+ yrsMumbaiOn-siteDirect career pageEst. 10–18 LPA
Posted 15d ago
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Job description
Structured overview of role & requirements
About This Role
- Analyze MSME commercial bureau and lender portfolio data to develop risk models and support credit decisions across acquisition, underwriting, risk segmentation, and portfolio monitoring.
- Develop and validate bureau-based credit-risk scorecards and predictive models using Python and SQL, ensuring technical soundness, reproducibility, and alignment with lending decisions.
- Support proofs of concept, pre-sales consulting, and productization of analytics by delivering analytical designs, reusable features, and adhering to model governance standards.
Minimum Requirements
- 3+ years in data science, credit-risk analytics, decision science or statistical modelling with at least 2 years focused on credit-risk/lending analytics.
- Direct experience with MSME/SME/commercial lending or commercial bureau analytics mandatory.
- Strong proficiency in Python and SQL for data manipulation and model development; experience in credit-risk scorecard development using logistic regression, decision trees, and boosting.
- Role location: Mumbai. Work Experience Required: 3+ years, including 2+ years in credit-risk analytics.
Ideal Candidate Profile
- Experienced in hands-on credit-risk modelling specifically with MSME or commercial lending data and bureau analytics.
- Capable of structuring lender use cases into rigorous analytical designs and translating complex bureau data into actionable risk-management insights.
- Comfortable supporting client-facing activities such as proofs of concept and pre-sales discussions with strong analytical communication skills.