Hybrid QA Automation & Validation Analyst (NYC)

Nasdaq, Inc

United States

Hybrid

USD 71,000 - 121,000

Full time

14 days+

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Benefits offered by this job

401(k) match
Employee Stock Purchase Program
Parental leave
Hybrid work schedule
Paid time off
Education assistance

Job summary

Nasdaq, Inc. is seeking a QA Analyst to ensure the quality and reliability of software powering equities trading systems. You will validate products meet functional and regulatory standards in a fast-paced, high-impact environment.

You will work with engineers to build QA processes, create test data, and execute automated tests using Python and pytest. The role offers hybrid in New York City with in-office collaboration three days a week.

Qualifications

  • Bachelor's degree in CS/IS or related field.
  • 0–2 years of software quality assurance or testing experience; internships count.
  • Proficiency with Python and pytest for automated tests.
  • Familiarity with macOS/Linux and client-server concepts.
  • Knowledge of AWS, Git, JIRA, and Confluence preferred.
  • Strong communication and collaboration skills for cross-functional work.

Responsibilities

  • Execute quality control tests to verify software meets standards and requirements.
  • Create and manage test data files to validate logic, flow, and edge cases.
  • Collaborate with development and project teams to plan, execute, and document test phases and defect tracking.
  • Administer and maintain quality standards, procedures, and audits for products and processes.
  • Contribute to QA workflow improvements and leverage automated testing frameworks.

Skills

Python
pytest
Git
JIRA
Confluence
AWS
Docker
CI/CD
Communication
Cross-functional
Linux
macOS

Education

Bachelor's degree in CS/IS or related

Tools

JIRA
Confluence
Git
Docker
Allure
pytest

Job description

Nasdaq, Inc. is seeking a QA Analyst to ensure the quality and reliability of software powering equities trading systems. You will validate products meet functional and regulatory standards in a fast-paced, high-impact environment.

You will work with engineers to build QA processes, create test data, and execute automated tests using Python and pytest. The role offers hybrid in New York City with in-office collaboration three days a week.

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