Why this role is important to us:

State Street’s Core Data delivery provides a unified, scalable data delivery platform offering clients and partners access and insights into their financial data. We’re looking for a Senior Associate Quality Assurance Engineer to ensure the quality, reliability, and integrity of SSCD capabilities by applying strong test fundamentals, automation, and AI-assisted quality engineering practices.

What you will be responsible for**:**

• Work closely with Product Owner, developers, data engineers, and business analysts to execute end-to-end quality activities in Agile delivery teams

• Design, review, and implement test strategies, test plans, and test cases covering functional, regression, data, and integration testing

• Build, enhance, and maintain automated test frameworks and reusable test libraries for SSCD components

• Integrate automated testing into CI/CD pipelines to enable continuous testing and fast feedback

• Perform data validation/reconciliation across data warehouses, marts, and downstream consumers

• Document and track defects in an issue tracking system; communicate quality risks, trends, and root-cause insights

• Participate early in requirements and design reviews to identify testability gaps and quality risks

• Leverage AI-assisted tools to accelerate test design, script creation, and defect analysis while ensuring responsible and secure usage

What we value**：**

These skills will help you succeed in this role:

• 3+ years of hands-on experience in QA and/or test automation, preferably in financial services or data-intensive platforms

• Demonstrable experience with automation frameworks and scripting (e.g., Java/Python, TestNG/JUnit, Cucumber or similar)

• Strong SQL skills and experience validating data pipelines, data marts/warehouses, and reporting outputs

• Experience with API testing and service-level validation

• Familiarity with UNIX/Linux and CI/CD tools

• Ability to translate business and data requirements into effective testing solutions

• Strong written and verbal communication skills

AI / Modern QE skills (required or strong plus):

• Hands-on experience using GenAI/AI-assisted tools (e.g., Copilot-style assistants) to draft test cases, generate/maintain automation, and analyze failures

• Ability to critically review AI-generated outputs and validate correctness, security, and compliance needs

• Understanding of testing considerations for AI/ML-enabled features (model behavior validation, data quality, bias awareness, and risk-based testing)

• Awareness of responsible AI and data privacy practices when using AI tools in an enterprise setting

Education & Preferred Qualifications:

• B.S. degree in Computer Science, Engineering, Information Systems, or a related discipline

• Experience testing large-scale data platforms/analytics solutions and/or cloud data services is a plus

• Exposure to data governance, security testing, or information disclosure prevention practices is desirable

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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