About the role
As a Senior QE Lead with Capital Market Experience, you will make an impact by leading quality engineering initiatives for large-scale, enterprise-grade financial applications while driving test strategy, automation, data validation, and continuous quality improvement. You will be a valued member of the Quality Engineering team and work collaboratively with product owners, development teams, business stakeholders, data teams, and cross-functional delivery organizations to ensure the successful delivery of high-quality solutions.
In this role, you will:
- Lead and mentor QA teams delivering quality engineering for large-scale, enterprise-grade applications, driving test strategy, execution, resource planning, and continuous quality improvements across multiple projects.
- Perform functional and automation testing for Capital Markets applications to ensure quality, reliability, and performance.
- Validate index methodologies, benchmark indices, market data, reference data, and index calculation platforms, ensuring accuracy across financial applications.
- Develop, enhance, and maintain automation frameworks using Java or Python, and execute regression, API, integration, and end-to-end testing.
- Validate data using SQL, databases, ETL pipelines, and Data Services to ensure data accuracy, integrity, and consistency.
- Leverage AI-powered tools and GenAI assistants to improve test design, test automation, defect analysis, root cause investigation, and overall QE productivity.
- Work with market data, pricing, reference data, index calculations, and other capital markets platforms.
- Partner with cross-functional stakeholders to define QA strategy, support Agile delivery practices, manage project risks and dependencies, and successfully deliver complex large-scale initiatives with high quality and predictable outcomes.
Work model: Remote
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Strong expertise in Quality Engineering with a proven track record of leading and mentoring QA teams in enterprise environments.
- Deep understanding of Capital Markets, Asset Management, Index Methodologies, Benchmark Indices, market data, and reference data domains.
- Demonstrated AI fluency with experience working with multiple AI models, AI-powered tools, and GenAI platforms to improve quality engineering outcomes.
- Strong hands-on experience with Selenium automation, Java and/or Python, API testing, and test automation framework development.
- Strong SQL and database testing expertise with experience validating ETL pipelines, data services, and large-scale financial data platforms.
- Experience validating index calculations, benchmark-related applications, and capital markets platforms.
- Experience working within Agile delivery environments and collaborating with cross-functional stakeholders to deliver complex initiatives.
These will help you stand out
- Experience testing high-volume, low-latency, real-time data platforms within Financial Services organizations.
- Strong experience with market data, pricing platforms, and financial data distribution systems.
- Expertise in automation strategy, framework architecture, and continuous testing practices.
- Experience leading quality transformations and driving continuous improvement initiatives across multiple programs.
- Strong analytical and problem-solving skills with expertise in defect prevention, root cause analysis, and risk management.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Applications will be accepted until 8/20/2026
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Salary and Other Compensation
The annual salary for this position is between$80,000p.a - $130,000p.a depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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