Quantitative Developer - C++

Skills this role screens for

About the role

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 which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

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Your future role within QRT

You will join the Options Execution team as a Software Engineer, working at the heart of QRT's options trading business. The team designs, builds and operates the systems that take trading decisions from research through to the market, spanning low-latency execution engines, research tooling and analytics infrastructure. Embedded directly within the trading desk, you will partner closely with Quantitative Researchers and Traders to deliver robust, high-performance software in a fast-paced, collaborative environment, helping to drive the continued growth of QRT's global options footprint.

• You will be working within a trading desk alongside researchers and traders, meaning that your contribution will have a direct and immediate impact on the desk's success.
• A role with the potential to touch many aspects of algorithmic trading, including low-latency trading engines, a research platform, and analytics infrastructure.

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Your present skill set

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.

• Strong knowledge of modern C++ and Python, and solid computer science fundamentals.
• A collaborative mindset: you have the ability to listen to technical arguments made by other competent people, and change your view when the evidence supports it.
• Clear and precise communication on technical topics in a fast-paced environment.
• A good understanding of what happens beneath the abstractions, including CPU, memory, operating systems, and networking.
• A strong sense of ownership, with the ability to take projects from initial idea through to delivery.