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You will be working on BlackRock's investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of users investing worldwide. Our Quality Assurance teams reside inside the Aladdin Engineering group. We collaboratively build the next generation of technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets and supports millions of financial instruments. We perform risk calculations and process millions of transactions for thousands of users every day worldwide!
Job Responsibility:
Lead and mentor a team of QA engineers by providing technical guidance, coaching, and support in building effective testing solutions to enable the delivery of high‑quality products. Foster a culture of accountability, ownership, and continuous improvement across the team
Remain hands‑on and accountable for functional deliveries. Collaborate closely with product managers, developers, and cross‑functional stakeholders to understand client requirements, contribute to solution design, and ensure high‑quality outcomes
Own end‑to‑end testing activities from planning through execution—across functional and non‑functional requirements, including test strategy, design, development, execution, and delivery
Drive improvements in productivity, test coverage, automation, and shift‑left practices by effectively leveraging AI. Expand functional, negative, and edge‑case coverage using AI‑generated insights, refined through strong domain knowledge. Contribute to defining accuracy, precision, and acceptance thresholds for AI‑powered solutions
Utilize AI‑driven metrics and quality trends to proactively identify high‑risk areas, influence go/no‑go decisions and recommend testing strategies aligned with the organization’s zero‑incident vision
Champion a strong culture of quality across teams by promoting awareness, adoption, and adherence to established quality standards and best practices
Identify, prioritize, and drive quality‑focused enhancements to continuously improve application stability, resilience, and scalability
Regularly review test coverage, automation effectiveness, and testing workflows to improve efficiency and quality across the SDLC
Promote an inclusive and diverse team culture by embedding principles of inclusion into hiring, people management, and employee engagement, and by leading through example.
Requirements:
B.E. / B.Tech. / MCA degree in Computer Science, Engineering, or a related subject area
10+ years of proven experience
Proven experience in a senior QA role within the financial services domain, preferably in asset management or a related area, with strong understanding of investment management workflows, risk management practices, regulatory compliance, or investment accounting
Ability to leverage AI for test scenario generation from requirements, designs, APIs, and business workflows, with the capability to validate, refine, and prioritize AI‑generated outputs using strong domain expertise
Hands‑on experience in building and driving adoption of AI agents to accelerate test automation, including areas such as code generation, pull‑request reviews, and autonomous test execution
Exposure to Java‑based automation frameworks and modern test tooling such as Selenium, Playwright, or Cypress
Proven track record of defining, leading, and executing effective test strategies that drive continuous improvement in quality, efficiency, and reliability
Deep understanding of software quality assurance and engineering principles, methodologies, and best practices, with solid experience working in Agile delivery environments
Excellent communication, interpersonal, and leadership skills, with the ability to influence, collaborate, and drive alignment across cross‑functional and geographically distributed teams
Strong technical foundation in RDBMS concepts, SQL, application infrastructure, performance testing tools and methodologies (e.g., JMeter or equivalent), and API testing for complex, distributed systems
A self‑motivated and proactive mindset, with a willingness to take ownership, dive deep into complex problem areas, and work closely with teams at all levels to deliver effective solutions
Strong analytical and problem‑solving skills to identify, assess, and resolve complex quality and engineering challenges
Experience working as part of an Agile development team, contributing actively to planning, execution, and continuous improvement practices.
Nice to have:
AZURE Dev Ops, CI/CD integration and associated tools and processes (Continuous Integration/Continuous Delivery (CI/CD) automation servers, Maven, SonarQube)
AI and Machine Learning (Windsurf or GitHub CoPilot)