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High: Tier-1 employer, metro location, mid-level generalist analytics role, and common skillset.
High because credit risk, decisioning systems, and regulatory knowledge are industry-specific and less transferable.
High due to explicit 4+ years requirement plus mandatory SAS/SQL, decisioning and regulatory experience.
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Lead and participate in credit risk analytics initiatives for Personal Loan products, focusing on strategy validation, testing (Unit, SIT, UAT, Regression), and process optimization with zero defect leakage.
Responsible for risk model documentation, data reconciliation, production management, and compliance with risk reporting policies and regulatory requirements.
Collaborate with US and India teams, mentor junior staff, and contribute to risk analytics planning and automation using SAS, SQL, and scripting tools.
4+ years of experience in credit risk analytics domain, primarily with Personal Loan products.
Bachelor's degree in Engineering, Technology, Mathematics, Econometrics, Computer Science or related fields.
Strong hands-on experience with SAS and SQL for data analysis, validation, and testing.
Experience working with decision systems such as Zoot Webrule Builder, FICO DMP, Experian PowerCurve.
Experienced in end-to-end testing and risk strategy deployment across unsecured lending lifecycle (Acquisition, Portfolio, Collections).
Skilled in collaborating cross-geographically (US and India teams) and comfortable leading projects with multiple stakeholders and mentoring juniors.
Knowledgeable in credit risk strategies, segmentation, decisioning frameworks, regulatory compliance, and automation scripting to improve efficiency.