
Data Risk Modeling Specialist
2 weeks ago
Key Responsibilities
">Risk Model Development and Deployment
">We are seeking an experienced Data Scientist to build risk models for unsecured personal loans, including scorecards and early warning systems. The successful candidate will design and deploy risk systems from scratch to support lending operations.
">Data-Driven Decision Making and Reporting
">The ideal candidate will drive data-backed decision making, MIS reporting, and portfolio analytics to inform business strategies and optimize lending outcomes.
">Cross-Functional Collaboration
">This role requires collaboration with cross-functional teams like tech, product, and ops to integrate risk models into workflows and enhance underwriting automation processes.
">Requirements and Qualifications
">To be successful in this role, the candidate must have at least 2 years of experience as a Data Scientist or Risk Analyst in NBFC or lending space. Strong knowledge of unsecured personal loans and lending processes is essential, along with proficiency in Python, SQL, PowerBI, and Excel for data analysis and modeling.
">Familiarity with Regulatory Requirements
">The candidate should be familiar with RBI norms, compliance standards, and digital lending practices to ensure adherence to regulatory requirements.
">What We're Looking For
">We are looking for a skilled Data Scientist who can work effectively with limited data or proxy indicators to make informed decisions and drive business growth.
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