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Tier-1 bank brand and product role but senior level and niche SAS/pricing requirements limit density.
Banking pricing validation with mandatory SAS and domain expertise limits cross-industry transferability.
Explicit 8-12 years and mandatory advanced SAS, Python, SQL and pricing domain expertise make filters highly strict.
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Own independent validation, QA, and analytical review of pricing strategies, configurations, and outcomes before production deployment.
Develop and execute SAS and Python based automated testing frameworks, scripts, and validation processes to ensure pricing accuracy and compliance.
Coordinate and lead User Acceptance Testing (UAT) activities, manage defect tracking, and provide release sign-off recommendations ensuring governance and control.
8-12 years of relevant experience in pricing validation or related analytical roles.
Advanced SAS programming skills required; proven ability to analyze large datasets, validate data, and identify pricing discrepancies.
Proficiency in Python and SQL for automation, data validation, and reconciliation tasks.
Bachelor's degree in Business, Economics, Finance, Mathematics, Statistics, Computer Science, Data Analytics, or related field.
Experienced in handling end-to-end pricing validation and testing in a complex, multi-product environment with strong attention to detail.
Skilled in developing automated regression testing processes incorporating AI to enhance testing efficiency and coverage.
Demonstrates ability to manage UAT coordination across business, product, and technology teams to ensure robust pricing controls and compliance.