Software Testing Engineer, Portfolio Management Group, Analyst

About Global Fixed Income Team

BlackRock's active fixed income portfolio strategies stretch across a range of investment styles and segments of the fixed income universe. The breadth and depth of our platform puts us in a strong position to potentially deliver attractive returns in various market environments. With a focus on alpha generation and risk management, the team uses a top-down view from lead portfolio managers and bottom-up expertise from our sector specialists

About the Role

We are looking for a Software Testing Analyst to help deliver reliable web applications, APIs, data integrations, and AI-powered features. You will work closely with developers, business analysts, and stakeholders to define quality criteria, identify risks early, and assess whether features are ready for release.

Responsibilities

• Review requirements and define acceptance criteria, test plans, and regression scenarios.
• Assess AI-generated responses for relevance, factual support, consistency, and correct use of supporting sources.
• Validate data across application screens, APIs, databases, and generated outputs.
• Cover edge cases and failure scenarios, including invalid inputs, timeouts, interrupted requests, and access restrictions.
• Own defects from discovery through resolution: investigate issues, communicate their impact, and verify fixes.
• Build and maintain automated checks, reusable test data, and quality documentation.
• Communicate quality risks and provide clear recommendations on release readiness.

Must know

• Test-case design, manual testing, regression testing, and defect management.
• Programming in Python, Java, or a similar language, with the ability to write validation scripts.
• API testing, including HTTP, JSON, and response validation.
• SQL for data validation and troubleshooting.
• Test automation using a framework such as pytest, Selenium, or Playwright.
• SDLC, STLC, Git, and collaborative delivery practices.
• Structured problem-solving and clear communication.

Good to know

• Quality evaluation for AI applications, including prompt variations, unsupported claims, source grounding, and response quality.
• Large language model and retrieval-augmented generation (RAG) concepts.
• CI/CD pipelines, application logs, and browser developer tools.
• Accessibility, performance, and security testing.

Relevant experience may come from professional work, internships, or substantial projects. We value someone who takes initiative and can drive quality from requirements through release.

Education & Qualifications

• 1-3 years of relevant work experience

Problem-Solving

• Strong analytical and problem-solving skills, including root-cause analysis.
• Ability to gather requirements and translate business needs into technical solutions.
• Clear communication with technical and non-technical stakeholders.

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