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Tier-1 brand and Gurgaon metro increase competition; senior, niche finance QA/AI specialization reduces applicant pool.
Deep asset-management domain, regulatory and Aladdin familiarity required, limiting industry transferability.
Explicit 10+ years, finance domain mandate, automation and AI skills and leadership make filters highly restrictive.
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Lead quality engineering strategy and automation across Aladdin platforms focusing on ETF, Mutual Funds, and Asset Management workflows, including Front, Middle, and Back Office.
Drive AI-enabled, automation-first testing across UI, API, and backend layers ensuring scalable, resilient, and audit-ready delivery of mission-critical financial systems.
Manage and mentor global QA teams, collaborate with stakeholders, and actively participate in hands-on execution and delivery of complex quality initiatives.
B.E./B.Tech./MCA degree in Computer Science, Engineering, or related field.
10+ years of software quality assurance experience in financial services, including manual and automated testing development and execution.
Strong hands-on experience in test automation (UI, API, backend), test framework design, and familiarity with Selenium and Playwright.
Experience with AI-driven testing techniques, CI/CD pipelines, cloud platforms, and understanding of asset management domain including ETFs, Mutual Funds, and investment workflows.
Experienced leader in QA within financial services who can operate strategically and hands-on in complex distributed systems and cloud native environments.
Demonstrates deep domain expertise in asset management products and associated Front, Middle, and Back Office processes governed by regulatory and audit requirements.
Proven ability to drive AI-driven automation innovation and large-scale QA transformation, engaging effectively with executive stakeholders and global teams.