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Tier-1 brand, metro locations, and mid-level experience band increase applicant competition density.
Credit risk analytics requires lending, regulatory, and decisioning domain knowledge, limiting cross-industry transferability.
Mandatory 4+ years plus SAS/SQL and decisioning system experience creates strict screening filters.
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Lead and participate in moderately complex risk analytics initiatives focused on credit risk and personal loan products.
Validate business rules and strategies through functional, user acceptance, and regression testing using SAS and SQL.
Manage end-to-end production processes including data reconciliation, model documentation, and deployment monitoring to ensure zero defect leakage.
4+ years of experience in credit risk analytics, specifically with unsecured lending products.
Bachelor's degree in Engineering, Technology, Mathematics, Econometrics, Computer Science, or related field.
Proficient in SAS and SQL for data analysis and testing; experience with decision systems such as Zoot, FICO DMP, or Experian PowerCurve.
Location requirement: Hyderabad or Bangalore, India.
Experienced in managing testing methodologies and production lifecycle for risk analytics strategies in unsecured lending.
Skilled in collaborating across US and India teams, managing stakeholder communications and agile delivery processes.
Technical expertise with data warehousing tools and automation scripting to enhance efficiency and accuracy in analytics workflows.