- 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
コグニザントについて
コグニザント(NASDAQ: CTSH)は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。







