Posted:1 week ago|
Platform:
On-site
Full Time
Build risk models for unsecured personal loans, including scorecards and early warning systems. Design and deploy risk systems from scratch to support lending operations.
Drive data-backed decision making, MIS reporting, and portfolio analytics.
Collaborate with cross-functional teams like tech, product, and ops to integrate risk models into workflows.
Contribute to underwriting automation workflows and process improvements.
Minimum 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.
Proficient in Python, SQL, PowerBI, and Excel for data analysis and modeling.
Familiarity with RBI norms, compliance standards, and digital lending practices.
Comfortable working with limited data or proxy indicators to make informed decisions.
Stealth Startup
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