Senior QA Analyst

• Automated Data Quality Development: Design, develop, and implement automated data quality checks for both real-time and batch processing of trading data
• Data Pipeline Validation: Monitor and rigorously validate data pipelines supporting trade execution, pricing models, risk analytics, and post-trade settlement processes
• Issue Identification & Resolution: Partner with trading desks, quantitative teams, and data engineers to proactively identify, analyze, and resolve complex data anomalies
• Data Governance & Traceability: Build and maintain solutions for data profiling, lineage tracking, and metadata management to ensure comprehensive data traceability and auditability
• Continuous Integration for Data Reliability: Integrate data validation rules and automated tests into Continuous Integration/Continuous Delivery (CI/CD) pipelines
• Root Cause Analysis: Conduct thorough root cause analysis for identified data quality issues and drive the implementation of effective corrective and preventative actions
• Regulatory Compliance: Ensure all data quality processes and solutions adhere to global financial regulations and internal compliance standards
• Cloud Environment Optimization: Collaborate with DevOps and Cloud Engineering teams to optimize and scale data quality solutions within cloud-based environments (e.g., AWS, Azure, GCP)
• Advanced Anomaly Detection: Leverage and integrate AI/Machine Learning-based anomaly detection models to proactively identify subtle and complex data inconsistencies
• UAT and Product Rollout Support: Provide crucial support for User Acceptance Testing (UAT) processes and the successful rollout of products into production environments, ensuring data quality readiness

• Experience: 9+ years of experience in Quality Assurance, with a strong focus on data quality in backend testing
• Backend & API Automation: Strong experience in test automation using Java for backend systems and API testing
• Test Framework Design & Implementation: Experience in designing and implementing test frameworks for automation testing, including defining test architecture, reusable components, and best practices
• Test Planning & Execution: Hands-on experience with test planning, test designing, execution, performance testing, and stress testing, implementing, and maintaining a quality test automation framework
• Python Experience: Hands-on experience in developing automation scripts using Python
• SQL Proficiency: Proficiency in SQL for complex data validation, querying large datasets, and data manipulation
• Analytical & Troubleshooting Skills: Exceptional analytical and troubleshooting skills, particularly for debugging and resolving intricate data quality issues
• DevOps Integration: Demonstrated experience embedding data quality tests and automation within DevOps CI/CD pipelines
• Testing Standards & Metrics: Ability to develop and drive testing standards, and monitor and report key performance metrics
• Adaptability: Ability to thrive and contribute effectively in a dynamic, fast-paced trading environment with cross-functional teams

Bachelor’s degree/University degree or equivalent experience

Global benefits designed to support well-being, growth, and work-life balance