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Strong employer brand and mid-level generalist experience increase competition despite niche decisioning skills.
Role requires domain-specific credit risk and decisioning expertise, limiting industry transferability.
Mandatory sector experience and decisioning tool expertise make shortlisting strict.
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Design and develop business rules and strategies in decision systems for credit card and loan products, ensuring zero defect leakage.
Analyze and improve risk management processes including data reconciliation, model documentation, and performance reporting.
Own project deployment in UAT and production with responsibility for quick support, issue resolution, and collaboration across multiple stakeholders.
Minimum 2+ years of experience in credit risk analytics domain, specifically with credit cards and loan products.
Experience working with decision systems such as Zoot, FICO DMP, Experian PowerCurve, TRIAD, SAS ID, including rule development and strategy implementation.
Proficiency in SAS/SQL and familiarity with databases like Teradata or Oracle; ability to use Python for data analysis and automation.
Work Experience Required: 2+ years in Risk Analytics or equivalent through experience, training, or education.
Experienced in collaborating and coordinating with diverse teams across locations (US and India) to optimize process and execute complex business requirements.
Capable of independently managing medium risk projects and deployments within regulated credit risk environments involving unsecured lending lifecycle.
Strong operational ownership with ability to identify root causes, drive improvements, and manage multiple priorities under deadlines in a dynamic environment.