- 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.
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.
Salary and Other Compensation
- 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
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.







