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Niche credit-risk ML role, senior requirement, and metro location create moderate competition.
Strong credit-risk and underwriting experience required, limiting cross-industry transferability.
Explicit 7+ years plus domain-specific credit modeling and tech stack requirements enforce strict filters.
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Build and refine foundational credit underwriting models and features from the ground up for the India-based consumer credit platform (NIRA).
Predict loss performance and leverage alternative data sources to improve credit risk analytics and lending outcomes.
Collaborate cross-functionally with credit, engineering, and leadership teams, influencing near-term lending performance and long-term data infrastructure.
7+ years of deep expertise in predictive modeling, ideally in credit risk or actuarial settings.
Proficiency in Python and SQL, with experience using ML libraries such as scikit-learn, LightGBM, or XGBoost.
Hybrid work requirement: based in Bangalore with 2-3 days/week onsite at Bangalore office.
Work Experience Required: Minimum 7 years in relevant data science/predictive modeling roles.
Experienced in building predictive credit or lending models from scratch and managing projects end-to-end in fintech or financial services.
Strong stakeholder management skills with ability to work in lean, high-growth, and ambiguous environments.
Clear communicator capable of explaining complex data science concepts to non-technical leadership and collaborating across functions.