Technical Support Engineer

Qube Research & Technologies; London; On-site; GBP 40,000 - 60,000; Full time

Job summary

Join a leading global quantitative investment firm as a Technical Support Engineer. In this role, you'll ensure a seamless onboarding experience for new researchers and traders, providing technical support and improving internal tools for enhanced productivity. Your technical expertise in Python, Linux, and AWS, along with excellent communication skills, will empower teams to thrive from day one.

Qualifications

• Strong working knowledge of Python, Linux, and AWS.
• Excellent written and verbal communication skills.
• Practical problem-solving skills with a hands-on approach.

Responsibilities

• Provide technical support for researchers and maintain environments.
• Maintain onboarding materials and tools in Python.
• Collaborate to understand user pain points and deliver improvements.

Skills

Python

Linux

AWS

Communication

Problem Solving

Debugging

Collaboration

Continuous Improvement

Job description

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT's collaborative mindset, enabling us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

Your future role within QRT

As a Technical Support Engineer at QRT, you will play a crucial role in delivering a smooth and efficient onboarding experience for new researchers and traders. Your mission is to ensure they are technically equipped and empowered to be productive from day one. You'll provide direct support, enhance internal tools and documentation, and collaborate with various teams to deliver tailored, high-impact solutions.

• Provide technical support for researchers, setting up and maintaining Python, Linux, and AWS environments
• Maintain and improve onboarding materials, tools, and example notebooks in Python
• Encourage and support better coding practices through tools, guidance, and documentation
• Deliver on-site support to local teams and projects, with a helpful and approachable mindset
• Collaborate with researchers to understand pain points and deliver workflow improvements
• Evaluate and test new tools or technologies to improve researcher efficiency, and share findings internally
• Facilitate clear communication between technical and non-technical team members

Your present skillset

• Strong working knowledge of Python, Linux, and AWS
• Solid understanding of data science workflows and tooling in support of quantitative researchers
• Advocates for pragmatic software practices and effective workflows
• Ability to explain complex tools and methods to users with varied coding backgrounds
• Practical, hands-on approach to debugging, tool configuration, and problem solving
• Proactive mindset with a focus on continuous improvement
• Excellent written and verbal communication skills, with the ability to produce clear documentation
• Comfortable working independently and collaboratively across teams
• Willingness to travel occasionally for onboarding or project support
• Exposure to quantitative strategies or financial markets is a plus
• Passion for technology, demonstrated through personal or side projects

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.