Quality Assurance Analyst - Risk, Financial Services - Remote

Overview

We are seeking a detail-oriented and experienced QA Analyst to support the quality assurance efforts for the implementation and maintenance of a Risk System within a banking environment. This role is responsible for designing and executing functional and regression test plans, developing automated test scripts, and ensuring seamless integration with continuous integration/continuous delivery (CI/CD) pipelines.

In Short

• Design, develop, and maintain comprehensive test plans and test cases for functional, integration, and regression testing of the Risk System.
• Collaborate with business analysts, developers, and stakeholders to understand system requirements.
• Build and maintain automated test scripts using testing frameworks (e.g., Selenium, TestNG).
• Implement test automation infrastructure integrated with CI/CD pipelines.
• Perform manual testing as needed to validate edge cases or new functionality.
• Maintain traceability between test cases and business/technical requirements.
• Conduct root cause analysis of defects and help prioritize bug resolution.
• Document and report defects in issue tracking systems (e.g., Jira).
• Contribute to the improvement of QA practices and risk-based testing strategies.
• Support UAT and production release validation activities.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• 5+ years of QA experience, preferably in financial services or risk technology platforms.
• Strong knowledge of functional, regression, and integration testing methodologies.
• Proficiency in automated testing frameworks (e.g., Selenium, JUnit).
• Experience with CI/CD tools such as Jenkins or Azure DevOps.
• Solid understanding of SQL for data validation.
• Familiarity with API testing (e.g., Postman).
• Working knowledge of version control systems (e.g., Git) and issue tracking tools (e.g., Jira).
• Experience in Agile/Scrum environments.

Benefits

• Early responsibility: Empowerment to lead and deliver from the start.
• Career development: Opportunities to learn and collaborate with global teams.
• Meaningful work: Lead cutting-edge AI projects in a global consulting environment.
• Inclusive culture: Be part of a collaborative and global team.