About this role
APG –QA is a globally distributed team supporting Quality Engineering initiatives for Apps on the Aladdin. The Testing team employs use of industry-leading tools to support the testing activities.
Job Purpose/Background: The Associate – Aladdin Quality Engineering (AQE) will support the coordination, execution, and ownership of quality strategy, automation, and engineering excellence across Aladdin platforms, with a strong focus on Wealth management, Asset Management workflows spanning multiple facets of Asset management.
This role is responsible for enabling and implementing automation‑first, AI‑enabled quality engineering, ensuring scalable, resilient, and audit‑ready delivery for mission‑critical financial systems.
Key Responsibilities:
Quality & Automation
Develop and maintain automated test suites across UI, API, and backend layers using modern automation frameworks to improve test coverage and efficiency.
Execute automation-first testing practices to ensure early defect detection, faster feedback cycles, and high-quality software delivery.
Design and optimize regression test suites to improve execution reliability, reduce maintenance effort, and increase release confidence.
Collaborate with developers, product managers, and quality engineers to understand requirements, identify quality risks, and ensure comprehensive validation.
Analyse test results and drive defect resolution by investigating failures, reporting issues clearly, and supporting continuous quality improvement initiatives.
Test Engineering & Framework Design
Own and evolve test framework architecture, including UI automation – Playwright (preferred), Selenium
API & backend testing – including but not limited to API’s and Messaging services.
Knowledge and exposure to nonfunctional testing like Performance, Security and Chaos testing is favorable.
Implement robust error reporting, failure analysis, and test result assurance mechanisms.
Solid understanding of one or more programming languages – TypeScript ( preferred), Java , C#, Go etc.
AI Driven Quality Engineering
Actively leverage Artificial Intelligence to enable and enhance acceleration of testing cycles – by improving test design, execution and to overall product quality.
Ability to intelligently use AI to augment the overall test automation cycle – including but not limited to optimal code generation, coverage and maintenance optimisation.
Should be able to apply AI insights and understanding for additional automation tasks like failure analysis/categorisation, root cause analysis etc.
Stay up to date with emerging AI technologies and industry trends to continuously identify opportunities for innovation within Quality Engineering.
Should possess ability and zeal to contribute to AI-first quality engineering practices , adopting and promoting tools and techniques that enhance team productivity and testing effectiveness – like Spec Engineering, Token Optimisation etc.
Required Skills / Experience:
The candidate is encouraged to possess and be able to demonstrate the following:
B.E. / B.Tech. / MCA degree in Computer Science, Engineering, or a related subject area
4+ years of proven experience in Software Quality Assurance in a financial services firm (e.g., Investment Banking, Asset Management), including writing manual tests (positive and negative), test automation development and execution.
Good exposure with Testing methodologies, Test plan, Test strategy, RTM and Test estimation etc. with experience in UI testing
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
