Automation QA, Global Financial Markets

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

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