Automation QA, Global Financial Markets

Job description

Role Overview We are seeking a high-killed Senior Test Engineer to join our global financial markets technology team. As part of a leading bank, you will ensure the integrity of our mission-critical, high-frequency, low-latency trading platforms. You will go beyond traditional testing by integrating AI-driven methodologies, Product Security, and rigorous Regulatory Compliance into the automation lifecycle to maintain our competitive edge in the global markets. Key Responsibilities Test Engineering: Design and scale sophisticated test suites and use Serenity BDD to automatically validate complex FX workflows (Spot, Forwards, Swaps). Low-Latency Performance Validation: Execute rigorous testing for High-Frequency Trading (HFT) components, focusing on microsecond-level latency, jitter analysis, and system throughput. AI-Enhanced Quality Engineering: Proactively leverage Generative AI tools (e.g., GitHub Copilot, LLM-based agents) to optimize test case generation, automate synthetic market data creation, and perform predictive defect analysis. Product Security Integration: Conduct API vulnerability assessments and chaos testing to ensure trading infrastructure resilience. Compliance & Data Governance: Ensure all testing activities—especially those involving AI tools—strictly adhere to banking regulations. CI/CD & DevOps: Own the integration of automated suites into CI/CD pipelines, ensuring rapid, secure, and compliant feedback loops for development teams. Global Stakeholder Management: Partner with Traders, Quants, and Risk Managers across global offices to resolve complex production issues. Required Qualifications & Skills Professional Experience: Minimum 3+ years of hands-on experience in QA automation. Technical Expertise: Expert-level proficiency in Java and the Serenity BDD framework. Strong experience with Selenium, Cucumber, and REST-assured. Domain Knowledge: Deep understanding of FX products and market microstructure. Proven experience testing High-Frequency / Low-Latency trading systems and the FIX Protocol. Security & AI Competency: Experience in Product Security Testing and vulnerability identification. Demonstrated ability to use AI tools to enhance the SDLC while maintaining data privacy standards. Regulatory Awareness: Familiarity with data privacy laws and financial compliance requirements related to cross-border data transfer and automated decision-making. Education: Bachelor’s degree or higher in Computer Science, Financial Engineering, or a related field. Preferred Attributes "Security-First" and "AI-First" mindset in software quality assurance. Experience with high-volume time-series data analysis. Excellent communication skills for a multicultural, global banking environment. Location: Guangzhou (DTC) Job: Technology Schedule: Regular Employee Status: Full time