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Tier-1 brand, metro location, popular junior risk role attract dense applicant pool.
Requires fintech/banking credit risk experience and regulatory knowledge, limiting cross-industry transferability.
Explicit 0-3 years, mandatory SQL/Python and top-tier B.Tech requirement tighten filters.
Implement and optimize credit risk policies across various loan products, ensuring adherence to regulatory and internal requirements.
Analyze credit risk using machine learning models, alternative data, and traditional techniques to enhance underwriting effectiveness.
Monitor risk policy performance, provide feedback to product and policy teams, and collaborate with technology teams to integrate risk-based decisioning.
0-3 years experience, preferably in fintech or banking.
Proficiency in SQL and Python for data analysis and manipulation.
Bachelor's degree (B.Tech) from NIT, BITS, or other reputed institutions.
Work Experience Required: 0-3 years relevant risk or credit analysis experience.
Experience or exposure to credit risk assessment and underwriting processes in a fintech or banking environment.
Strong analytical skills demonstrated by use of SQL and Python in data-driven risk evaluation.
Ability to work closely with cross-functional teams including product managers, data scientists, and engineers to implement and improve credit risk frameworks.