Job Summary
Serve as a Lead Quality Engineer with six to eight years of experience driving robust testing strategies for Pega based anti money laundering solutions and product lifecycle management workflows in a hybrid work model ensuring reliable delivery of day shift releases that safeguard financial integrity and operational excellence.
Responsibilities
- Design comprehensive test strategies for complex Pega based anti money laundering workflows to ensure accurate detection coverage and regulatory compliance across multiple financial products and services.
- Develop reusable automated test suites that validate end to end product lifecycle management processes to improve quality consistency and reduce regression effort for large scale enterprise implementations.
- Coordinate with business analysts and product owners to translate anti money laundering and product lifecycle requirements into clear test scenarios that accurately reflect real world transaction and investigation patterns.
- Execute functional integration and system tests for Pega applications focusing on rule configurations case flows and decision logic to prevent defects from reaching production environments.
- Implement robust test data management practices that simulate diverse customer risk profiles transaction behaviors and product configurations to enhance coverage and defect detection rates.
- Review user stories and acceptance criteria during backlog grooming sessions and provide quality risk assessments that influence prioritization and release readiness decisions.
- Create detailed defect reports with precise impact analysis and collaborate closely with developers to reproduce troubleshoot and resolve issues in a timely and transparent manner.
- Optimize test execution in the hybrid work model by using collaboration tools and repositories to keep test assets traceable up to business requirements and release documentation.
- Apply domain understanding of check processing when available to design specialized test conditions that validate clearing timelines exception handling and reconciliation outcomes.
- Monitor quality metrics such as defect density test coverage and escape rates and present data driven insights that guide continuous improvement across the delivery lifecycle.
- Enhance automation frameworks for user interface and application programming interface layers to shorten day shift execution windows and enable reliable continuous integration pipelines.
- Ensure adherence to organization wide quality standards and regulatory expectations for anti money laundering systems including documentation practices and audit ready evidence.
- Mentor junior quality engineers by sharing best practices in test design automation and defect analysis to build a strong quality culture within the delivery team.
Qualifications
- Demonstrate six to eight years of progressive experience in software quality engineering with consistent ownership of test strategy design execution and defect management for complex enterprise applications.
- Show proven hands on experience validating Pega based solutions including rulesets case management flows and integrations with upstream and downstream systems.
- Exhibit strong understanding of anti money laundering concepts such as customer risk scoring transaction monitoring alerts and investigations and apply this knowledge in test scenario design.
- Display practical experience testing product lifecycle management processes including product setup versioning retirement and related workflow or configuration changes.
- Utilize test automation tools and scripting approaches to build maintainable suites for regression smoke and integration testing that operate efficiently within a hybrid work environment.
- Communicate effectively with cross functional stakeholders including developers business partners and compliance teams to clarify requirements discuss risks and agree on quality outcomes.
- Bring exposure to check processing or retail banking operations as a valued domain addition enabling richer test coverage for payment clearing and exception scenarios.
- Adhere to quality assurance methodologies such as risk based testing and requirement traceability while continuously updating skills through relevant training and industry learning.
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
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