Quantitative Developer

• Expertise in modern C++, with strong hands-on development experience
• Deep understanding of system-level fundamentals, including CPU, memory, operating systems, and networking
• Strong analytical mindset and genuine motivation for robust and high-quality code development
• Proven ability to take full ownership of projects, from initial idea through to final delivery
• Effective communication skills and adaptability within dynamic, fast-paced environments
• Python skills highly desirable and considered a strong plus
• High motivation to work in the finance industry - prior experience is not required

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.

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.

A trading desk is successful thanks to the mix of the following three internal teams:

• Quant Traders: who are having strong knowledge about finance and trading
• Quant Researchers: who are mathematicians
• Quant Devs: who are strong in tech and computer science

Your future role within QRT:

• You will be working within a trading desk which means that your contribution will have a direct and immediate impact on the desk’s success
• Placing you as a key member of a Quant Dev team working closely with Quant Researchers and Quant Traders.
• A role with the potential to touch many aspects of algorithmic trading, including ultra-low-latency trading engine (tracking nanoseconds), research platform (Terabytes of data per day), and analytics infrastructure (Massive cloud computing)
• Opportunities to solve hard technical challenges critical to the desk’s success