Risk Analyst – Data Science & Analytics

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.

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.

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.