QA Test Analyst

As a QA Analyst reporting to the Senior Director, you'll play a critical role in ensuring the quality and reliability of the software that powers Nasdaq's equities trading systems — validating that products meet functional, and regulatory standards in a fast-paced, high-impact environment.

You'll thrive in this position if you're detail-oriented, collaborative, and eager to build expertise in quality assurance while working alongside experienced engineers who will support your growth.

Key Responsibilities

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• Execute quality control tests and analyses to verify that software meets specified standards, development requirements, and client expectations.

• Create and manage test data files to validate program logic, system flow, and edge-case scenarios.

• Collaborate with development and project teams to plan, complete, and document applicable test phases, including defect identification, tracking, and resolution.

• Administer and maintain quality standards for products and processes, including standard procedures and quality audits.

• Contribute to continuous improvement of QA workflows, leveraging automated testing frameworks and exposure to real-time financial systems.

Required Qualifications

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• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.

• 0–2 years of experience in software quality assurance or testing; internship or academic project experience counts.

• Proficiency or solid understanding of Python, including experience in pytest for writing and executing automated tests.

• Familiarity with operating systems such as macOS or Linux, and foundational concepts including client-server architecture, network protocols, and basic system administration.

• Understanding of cloud environments (e.g., AWS), Version control tools like Git and experience using bug tracking and documentation tools such as JIRA and Confluence.

• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Preferred Qualifications

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• Exposure to test automation frameworks (e.g., pytest) and test reporting tools (e.g., Allure).

• Familiarity with containerized environments such as Docker or Podman, used for spinning up and managing test environments.

• Experience or familiarity with AI-assisted development and testing tools (e.g., GitHub Copilot or similar).

• ISTQB Foundation Level certification or equivalent.