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- Tasks: Lead QA efforts for an AI-driven commodities trading platform, ensuring accuracy and compliance.
- Company: Join a cutting-edge fintech company focused on AI and commodities trading.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact in the fintech space while working with innovative AI technologies.
- Qualifications: 5+ years in QA/testing, strong background in fintech and AI systems required.
- Other info: Dynamic team environment with a focus on collaboration and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a detail-oriented and highly technical QA / Test Engineer to lead the quality assurance and validation efforts for Trade Product in AI, an enterprise-grade commodities trading platform. The ideal candidate will have a strong background in testing complex financial systems and AI/ML models, specifically focusing on Natural Language Machine (NLM) outputs and predictive analytics. You will be responsible for ensuring the platform’s "Intelligence Layer" provides accurate, explainable, and secure trading insights while meeting strict GCC and international regulatory standards.
Key Responsibilities
- AI & NLM Validation: Design and execute specialized test cases to validate the accuracy and "explainability" of Natural Language Machine (NLM) outputs and conversational AI responses.
- Functional & Trading Logic Testing: Verify complex trading engines, including commodity price forecasting models, margin optimization, and stress-testing scenarios.
- Data Integrity & Ingestion QA: Ensure the reliability of diverse data ingestion streams from ERP systems, FX feeds, logistics, and market news.
- Security & Compliance Testing: Conduct rigorous testing to ensure the platform adheres to ISO 27001, UAE PDPL, and other international data protection and regulatory environments.
- Automation Framework Development: Build and maintain automated testing suites for end-to-end trade lifecycles, including trade approvals, contract management, and audit trail generation.
- Performance & Scalability Testing: Execute load and stress tests on the cloud-native, modular architecture to ensure low-latency performance during high-volume trading.
- Integration Testing: Validate seamless communication between the backend AI models, frontend dashboards, and external data sources.
- UAT Leadership: Support User Acceptance Testing (UAT) during the final delivery phases, working closely with commodities traders and stakeholders.
Key Skills and Qualifications
- Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
- Experience: Minimum 5+ years of experience in QA/Testing, with a significant focus on Fintech, trading platforms, or AI-integrated systems.
- Core Tech Stack: Proficiency in testing Python/Java-based backend services and SQL/NoSQL databases.
- Testing Tools & Frameworks: Automation: Selenium, Pytest, or Robot Framework. AI/ML Testing: DeepEval, Giskard, or WhyLabs (for AI monitoring and bias detection). API Testing: Postman, Rest-Assured, or SoapUI. Performance: JMeter, K6, or Locust. Test Management: Jira, Xray, or TestRail.
- Domain Expertise: Understanding of commodities trading, risk management, and GCC-centric trade operations is highly desirable.
- Analytical Mindset: Strong ability to troubleshoot complex "black box" AI models and translate technical bugs into business-impact reports.
- Professional Attributes: High attention to detail, proactive approach to risk mitigation, and the ability to operate in a milestone-driven environment.
- Communication: Excellent ability to collaborate with AI/ML engineers and developers to ensure "Security & Compliance" are baked into the development lifecycle.
QA / Testing Professional ( Senior / Lead (Commodities & AI Intelligence focus) ) in Brentwood employer: SSOVEREIGN SOFTWARE SERVICES LTD
Contact Detail:
SSOVEREIGN SOFTWARE SERVICES LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land QA / Testing Professional ( Senior / Lead (Commodities & AI Intelligence focus) ) in Brentwood
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential employers on LinkedIn. The more people you know, the better your chances of landing that QA role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your testing projects, especially those related to AI and trading platforms. This will give you an edge and demonstrate your expertise to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and common QA scenarios. Practice explaining complex concepts in simple terms, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented QA professionals, and applying directly can sometimes give you a leg up in the process.
We think you need these skills to ace QA / Testing Professional ( Senior / Lead (Commodities & AI Intelligence focus) ) in Brentwood
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in QA/testing, especially in fintech and AI systems. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about commodities trading and AI. We love seeing candidates who can connect their personal experiences to our mission at StudySmarter.
Showcase Your Technical Skills: Be specific about the tools and frameworks you’ve used in your previous roles. Mention your experience with automation tools like Selenium or performance testing with JMeter. We’re keen on candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at SSOVEREIGN SOFTWARE SERVICES LTD
✨Know Your Tech Stack
Make sure you’re well-versed in the core tech stack mentioned in the job description. Brush up on your skills with Python, Java, and SQL/NoSQL databases. Being able to discuss your experience with testing tools like Selenium or Postman will show that you’re not just familiar but also hands-on.
✨Understand the Domain
Familiarise yourself with commodities trading and the specific challenges it presents. Knowing how AI and ML integrate into trading platforms can set you apart. Be ready to discuss how you’ve tackled similar issues in past roles, especially around risk management and compliance.
✨Prepare for Scenario-Based Questions
Expect questions that require you to think on your feet. Prepare examples of how you’ve designed test cases for complex systems or handled data integrity issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Showcase Your Analytical Skills
Highlight your ability to troubleshoot complex AI models and translate technical bugs into business impacts. Bring examples of how you’ve approached problem-solving in previous roles, especially in high-pressure environments. This will demonstrate your analytical mindset and attention to detail.
