Sia is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. With expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation.
Heka.ai is the independent brand of Sia dedicated to AI solutions. We host many AI-powered SaaS solutions that can be combined with consulting services or used independently, to provide our customers with solutions at scale.
Job DescriptionWe 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. The ideal candidate will have a deep understanding of financial risk systems, automated testing frameworks, and modern DevOps practices.
Key Responsibilities:
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 and translate them into executable test scenarios.
Build and maintain automated test scripts using appropriate testing frameworks and tools (e.g., Selenium, TestNG, Cucumber, JUnit, etc.).
Implement test automation infrastructure integrated with CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps).
Perform manual testing as needed to validate edge cases or newly released functionality not yet covered by automation.
Maintain traceability between test cases and business/technical requirements to ensure full test coverage.
Work closely with development teams to conduct root cause analysis of defects and help prioritize bug resolution.
Document and report defects clearly in issue tracking systems (e.g., Jira), ensuring timely triaging and follow-up.
Contribute to the improvement of QA practices and risk-based testing strategies across the organization.
Support UAT and production release validation activities as part of the broader software development lifecycle.
Required Qualifications:
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/TestNG, REST Assured).
Experience with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
Solid understanding of SQL for data validation and test preparation.
Familiarity with API testing (e.g., Postman, SoapUI) and test data management.
Working knowledge of version control systems (e.g., Git) and issue tracking tools (e.g., Jira).
Experience in Agile/Scrum environments with knowledge of sprint planning and defect management lifecycle.
Preferred Qualifications:
Experience testing Risk Engines, Market Risk, Credit Risk, or Model Validation systems.
Knowledge of banking regulations and financial instruments (e.g., derivatives, fixed income).
Exposure to performance/load testing tools (e.g., JMeter, LoadRunner).
ISTQB or equivalent QA certification is a plus
Why Join Us?
Early responsibility: We empower our consultants to lead and deliver from the start.
Career development: Your personal growth is our priority, with opportunity to learn and collaborate with global teams.
Meaningful work: Opportunity to lead cutting-edge AI projects in a global consulting environment.
Inclusive culture: Be part of a collaborative, entrepreneurial, and global team.
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
