Quantitative Developer - Front End, React/C#

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.

You will work on internal applications and infrastructure that deliver data from core services and APIs to a multitude of users across Trading, Risk, Compliance, Regulatory Reporting, Operations and Support. The role focuses primarily on C# development, building scalable systems that provide accurate and timely data for trading and operational workflows, alongside contributing to user interfaces developed using React and TypeScript.

Your future role within QRT

- Design, develop and maintain C# applications and infrastructure supporting real time data delivery across the business

- Build scalable services and data flows for trade entry, positions, order monitoring, execution, risk and PnL workflows

- Optimise application architecture, memory management and resource utilisation to improve scalability and reliability

- Investigate and resolve production issues involving data quality, latency, throughput and system performance

- Take ownership of technical decisions and continuously improve existing systems in response to evolving business needs

- Develop and enhance user interfaces using React and TypeScript in collaboration with other engineers

- Collaborate with Trading, Risk and operational stakeholders to understand requirements and deliver practical technical solutions

Your Present Skillset

- Minimum three years of professional software engineering experience, with strong C# and .NET development skills

- Experience designing, developing and supporting real time applications and data intensive production systems

- Strong understanding of software engineering fundamentals, including data structures, memory allocation, garbage collection and concurrency

- Experience investigating performance bottlenecks and implementing improvements to application reliability and efficiency

- Ability to work autonomously, make informed architectural decisions and take ownership of complex technical problems

- Experience with React, TypeScript, JavaScript, WPF, WinForms or similar user interface technologies is beneficial

- Strong communication and collaboration skills, with the ability to work effectively with technical and business stakeholders

- Familiarity with AWS, C++, real time messaging technologies, WebSockets or SignalR is advantageous

- Exposure to financial markets, trading systems or risk management applications is beneficial