Role Overview

The Senior QA Engineer is responsible for testing new functional & non-functional capabilities on the company’s new Strategic Risk platform.

This will involve extensive data analysis, f2b reconciliation and edge case analysis to ensure the completeness, accuracy and integrity of trade pricing, settlement and open position data from source through to risk calculation engines.

In addition to the usual QA test activities, the Senior QA Engineer will work closely with Developers, Technical BA’s and Risk Analysts through full lifecycle development.

A part of this role is to support test automation within the Risk data pipeline. The successful candidate will be able to define test frameworks and execute test scenarios.

This is the Senior role that will be expected to support another 1-2 QA Engineers as a senior.

Role Responsibilities

• Design and implement automated tests for trade pricing & settlement data pipelines

• Execute end-to-end testing and validation across multiple feeds

• Develop test cases based on regulatory rules, transformation mappings, and business requirements

• Support performance and volume testing for high-throughput trade feeds

• Maintain test harnesses and reusable validation components

Experience / Competences

Essential

• QA or test automation experience in data projects

• Proficiency in a scripting or coding language to support automated test development

• Proven experience of test data generation and data mocking techniques

• Strong knowledge with Git, CI/CD tools and agile QA practices

• Cloud platforms (especially AWS) for testing data pipelines

• Test automation frameworks such as PyTest, Robot Framework, and Postman

• Strong automation skills using Java, JavaScript, C#, Python, etc.

• Surveillance alert logic and transformation mappings

• Compliance-driven test case design, especially for systems like SCILA and Apama

• Design and execute end-to-end validation across multiple trade data feeds

• Conduct performance and volume testing for high-throughput environments

• Familiarity with agile QA practices and tools like JIRA, Jenkins, and Confluence

Desired

• Experience with capital markets data – trade, order, pricing

• Exposure to tools like Jira, Zephyr, Playwright

• Experience leveraging AI tools and techniques to enhance testing efficiency and automation

• Experience with risk, pricing or settlement systems desirable (but NOT essential)