AI-Driven QA Engineer for Financial Regulatory Testing

Nasdaq, Inc.; Wrocław; Hybrid; PLN 94,000 - 183,000; Full time

Benefits offered by this job

Annual bonus

Equity grant

Health insurance

Hybrid work setup

Paid time off for volunteering

Pension plan

Job summary

Nasdaq, Inc. seeks a Quality Assurance Engineer in Wrocław, Poland, to assure the quality and reliability of regulatory reporting used by financial institutions. You will design tests, validate complex datasets, and collaborate with global teams to deliver compliant software solutions.

The role emphasizes SQL, data validation, and practical AI tooling to enhance testing processes, with a hybrid work model and opportunities across time zones.

Qualifications

• Bachelor's degree or equivalent practical experience.
• Hands-on software quality assurance in complex applications.
• Strong knowledge of testing methodologies, defect management, and SDLC.
• SQL skills and validation of large datasets.
• Experience with AI tools for test support and documentation.

Responsibilities

• Design, develop, and execute test cases based on regulatory reporting requirements.
• Validate complex financial reports, data structures, and system integrations.
• Use SQL, Excel, XML, and data analysis to verify large datasets.
• Apply AI-powered tools to support testing and documentation while reviewing AI outputs.
• Collaborate with cross-functional teams across time zones to deliver quality solutions.

Skills

SQL

QA testing

English communication

AI tools experience

Education

Bachelor's degree in CS/IT/Engineering/Finance or related

Tools

Test automation frameworks

API testing

CI/CD pipelines

Job description

Nasdaq, Inc. seeks a Quality Assurance Engineer in Wrocław, Poland, to assure the quality and reliability of regulatory reporting used by financial institutions. You will design tests, validate complex datasets, and collaborate with global teams to deliver compliant software solutions.

The role emphasizes SQL, data validation, and practical AI tooling to enhance testing processes, with a hybrid work model and opportunities across time zones.