Associate Director - QA Engineer

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies

• 8+ years of experience in QA processes and automation with a strong understanding of quality assurance activities across all stages of the software development lifecycle
• Proven experience designing, scaling, and setting the direction for automation frameworks used across multiple teams, using Playwright, Selenium, Cypress, or similar technologies
• Expertise in Playwright including fixtures, locators, test runners, parallel execution, and configuration management
• Strong programming and automation scripting skills, with experience both developing reusable testing solutions and reviewing and governing those built by others
• Experience with Docker, multi-threaded execution, continuous integration and continuous delivery pipelines, and containerized automation environments
• Strong knowledge of functional, integration, performance, database, and API testing with experience validating large-scale enterprise applications
• Demonstrated leadership of quality assurance across one or more applications, through mentoring and technically guiding QA engineers, setting automation standards, and coordinating testing across teams; direct management experience is a plus
• Proven ability to translate QA strategy into an actionable plan for an application or a portfolio of applications, and to contribute to and influence the overall QA strategy in partnership with senior leadership
• Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive transformation and operational efficiency across teams. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption

Education

• Bachelor’s, Master’s, or PhD degree in Computer Science, Information Technology, or a related field, or equivalent practical experience

Responsibilities

• Senior QA role with a leading position for quality across an Asset Management application or a portfolio of applications, and with the potential to lead a QA team. Drives quality assurance, automation innovation, and testing excellence in its scope while contributing to the overall QA strategy
• Own quality outcomes for the assigned application or portfolio of applications: translate the overall QA strategy into an actionable QA plan, lead its planning and execution, and contribute proposals and evidence to the evolution of the overall strategy
• Provide leadership to the QA engineers working within that scope, including technical direction, mentoring, prioritisation, and capacity planning
• Set the automation architecture, standards, and tooling direction adopted across the QA teams in scope, reviewing and governing the frameworks they build and evolve
• Ensure test coverage across functional, integration, performance, database, and cross-environment testing is consistent, risk-based, and aligned to release commitments
• Own the approach to automated testing in continuous integration and continuous delivery pipelines, including quality gates, canary releases, and production testing practices
• Define, track, and report quality metrics, testing outcomes, risks, and recommendations to senior QA, engineering, and product leadership
• Partner with product managers, engineering leads, end users, and business partners to build quality into every release and resolve cross-team quality issues
• Own risk mitigation activities within scope, escalating broader risks to senior leadership, and contribute domain expertise
• Lead the adoption and governance of AI-assisted testing within scope, including validation standards and responsible-use practices

About the Team

You’ll be joining a dynamic, global cross-functional team within Moody’s Analytics Asset Management business. Our international team brings together experts in software engineering, analytics, data, and financial technology to deliver innovative products that help leading organizations make informed investment decisions. We develop cutting-edge software, advanced models, and scalable platforms while leveraging the latest technologies, including artificial intelligence, to drive innovation and operational excellence. By collaborating with talented colleagues across the globe, you will help build robust, future-ready solutions that enable clients to manage risk, identify opportunities, and succeed in an evolving financial landscape. Our team is recognized for its collaborative culture, commitment to innovation, and dedication to delivering best-in-class technology solutions to a global client base.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.