
Data Systems Specialist
2 days ago
Overview
We're seeking a skilled professional to build risk models for unsecured personal loans, including scorecards and early warning systems.
The ideal candidate will design and deploy risk systems from scratch to support lending operations.
In this role, you'll drive data-backed decision making, MIS reporting, and portfolio analytics.
You'll collaborate with cross-functional teams like tech, product, and ops to integrate risk models into workflows.
Additionally, you'll contribute to underwriting automation workflows and process improvements.
Requirements
Minimum 2 years of experience as a Data Scientist or Risk Analyst in NBFC or lending space.
A strong understanding of unsecured personal loans and lending processes is necessary.
You should be proficient in Python, SQL, PowerBI, and Excel for data analysis and modeling.
Familiarity with RBI norms, compliance standards, and digital lending practices is also required.
Key Responsibilities
Key Responsibilities:
- 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.
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