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Tier-1 brand and Mumbai metro increase competition, niche SAS/pricing focus reduces applicant pool.
Specialized pricing validation and advanced SAS domain expertise limit cross-industry transferability.
Explicit 8-12 years and mandatory advanced SAS plus automation/UAT skills create strict filters.
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Perform independent validation and quality assurance of pricing strategies, configurations, and contractual terms prior to production deployment.
Develop and maintain automated testing frameworks and scripts using SAS, Python, and AI to validate pricing data, identify discrepancies, and improve testing efficiency.
Coordinate and execute end-to-end User Acceptance Testing (UAT), manage defect tracking, and provide release sign-off recommendations ensuring governance and audit readiness.
8-12 years of relevant experience in pricing validation or related analytical roles.
Advanced SAS programming skills are mandatory; strong proficiency in Python and SQL required.
Bachelor's degree in Business, Economics, Finance, Mathematics, Statistics, Computer Science, Data Analytics, or a related field.
Experience with UAT, system testing, regression testing, and validation processes in pricing or financial products.
Experienced in large dataset analysis with SAS and Python, capable of detecting pricing discrepancies and data quality issues.
Proven expertise in developing and automating testing frameworks, including AI-based regression testing.
Ability to independently manage end-to-end validation processes across pricing products and collaborate with cross-functional teams in business, technology, and product areas.