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

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.

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