Lead Quality Engineer, Trading Technology

Project Overview

The client's Trading Technology team builds and supports the platform that enables investment and trading decisions to be executed reliably and at scale.

The Lead Quality Engineer will join the Trading Platform Engineering team within Investment Implementation & Trading (IIT) Technology, supporting business-critical applications in an asset management environment. The role focuses on high-quality software delivery through testing and automation while working closely with technology teams and business partners to deliver resilient systems and continuously improve software development and testing practices.

This is a hands-on leadership role requiring approximately 70% hands-on execution and 30% leadership/direction . Ownership is critical, along with the ability to guide QE engineers, solve failures, improve frameworks, and mentor team members.

Key Responsibilities

• Define and drive the overall quality engineering strategy across applications and initiatives.
• Own and evolve test and automation strategies, ensuring alignment with architecture and business goals.
• Lead end-to-end test design, execution, and automation across multiple workstreams.
• Drive development and adoption of scalable automation frameworks and best practices.
• Provide technical leadership and mentorship to QE engineers and guide design and execution.
• Collaborate with business, product, and engineering teams to translate complex requirements into effective test strategies.
• Establish and enforce quality gates and release standards across the SDLC.
• Proactively identify, track, and mitigate delivery risks and quality issues, providing regular stakeholder updates.
• Lead efforts to diagnose and resolve performance, scalability, and stability issues in complex systems.
• Champion QE best practices, innovation, and continuous improvement, including adoption of AI-driven testing solutions.
• Lead proof-of-concepts (POCs) for new tools, frameworks, and automation approaches.
• Drive and optimize CI/CD integration to enable continuous testing and faster, reliable releases.
• Collaborate effectively across onshore and offshore teams to ensure alignment and delivery consistency.

Required Qualifications

• Bachelor's degree in Computer Science or a related field.
• 8+ years of QE/testing experience.
• Proven experience leading QE efforts or managing QE teams.
• Deep expertise across multiple testing types, including functional, performance, and end-to-end testing.
• Strong hands-on automation experience with working knowledge of BDD frameworks.
• Strong understanding of software engineering practices, design principles, and coding standards.
• Hands-on experience building and maintaining CI/CD pipelines.
• Strong analytical, problem-solving, and leadership skills.
• Excellent communication skills with the ability to influence stakeholders across levels.
• Experience leveraging AI-assisted development and testing tools, such as GitHub Copilot and Claude Code.

Technical & Soft Skills

• Strong engineering/QE foundation with hands-on automation experience, not just tool-based testing.
• Java development or Java-based automation experience.
• Gherkin/BDD syntax.
• CI/CD experience, preferably Jenkins.
• Cloud exposure; AWS is ideal, but any cloud is acceptable.
• Automation framework experience; the team is using Playwright for UI testing.
• Leadership experience guiding QE engineers, solving failures, improving frameworks, and mentoring team members.
• AI-assisted development/testing exposure, such as Claude, GitHub Copilot, or building/testing agents.
• Strong problem-solving and communication skills.
• Strong ownership mindset with the ability to drive outcomes end-to-end.
• Ability to work collaboratively in a fast-paced, team-oriented environment.
• Strategic thinking combined with hands-on execution.
• Passion for continuous improvement, innovation, and quality at scale.

Preferred Experience

These qualifications would be helpful for the position but are not firm requirements :

• Trading technology domain exposure, ideally OMS, pre-trade, post-trade, or broader asset management experience.
• Working knowledge of Order Management systems and trading workflows.
• Experience managing or coordinating work across onshore and offshore teams.
• Proficiency in Java or any other programming language.