Back
Tier-1 brand, metro location, and mid-level experience drive high applicant competition.
Role requires credit risk and decisioning platform expertise, limiting cross-industry transferability.
Explicit 2+ years, mandatory credit risk and decisioning tech stack enforce strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and develop business rules and strategies for credit card and loan decision systems, ensuring zero defect leakage in assigned tasks.
Support and improve risk analytics processes through data reconciliation, model analysis, reporting, and coordination of performance reports.
Own project deployment activities including UAT and production support, root cause analysis of decision deviations, and collaboration with multiple teams and stakeholders.
Minimum 2+ years of experience in credit risk analytics or equivalent.
Hands-on experience with decision systems such as Zoot, FICO DMP, Experian PowerCurve, TRIAD, or SAS ID.
Working knowledge of SAS/SQL, databases like Teradata or Oracle, and basic testing types (SIT, UAT, Regression).
Work Experience Required: 2+ years in Risk Analytics domain specifically related to credit cards and loan products.
Experienced in translating complex business requirements into decision system logic and strategy components for unsecured lending lifecycle.
Capable of managing multiple priorities and deadlines in a dynamic environment with strong operational ownership including production support.
Collaborates effectively across global teams (US and India) and drives improvements using automation and emerging AI technologies to optimize analytics and decisioning workflows.