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Tier-1 brand, metro location, and product-facing title drive high candidate competition.
Pricing and banking product domain expertise with SAS focus limits cross-industry transferability.
Explicit 8–12 years plus mandatory advanced SAS, Python, and pricing validation skills enforce high strictness.
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Own independent validation and quality assurance of pricing strategies, configurations, and outcomes before production deployment.
Develop, maintain, and execute automated testing frameworks and validation scripts using SAS and Python to detect pricing discrepancies and ensure data quality.
Coordinate and manage User Acceptance Testing (UAT) including test planning, execution, defect tracking, and providing release sign-off recommendations with strong governance controls.
8-12 years of experience.
Advanced SAS programming skills are mandatory; proficiency in Python and SQL is required.
Bachelor's degree in Business, Economics, Finance, Mathematics, Statistics, Computer Science, Data Analytics, or related field.
Experience with developing and executing UAT, system testing, regression testing, and validation processes.
Experienced in large dataset analysis and pricing validation within financial or product management environments.
Strong operating style centered on detailed data analysis, automation development, and rigorous quality control.
Capable of coordinating cross-functional teams including business, product, and technology stakeholders to deliver validated pricing solutions.