Quantitative Developer - Python

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 our 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.

We are looking for a skilled software engineer to design and build robust, scalable services supporting key business functions related to investment and market analytics. This is a hands-on, high-impact engineering role working closely with domain experts and business stakeholders.

Your future role within QRT

• Design and develop scalable, high-performance services using Python and modern software development practices
• Leverage cloud-native technologies (AWS) to deploy, manage, and scale applications across environments
• Build and maintain automated test suites and delivery pipelines, applying CI/CD and DevOps best practices
• Work with technologies including REST APIs, SQL Server, Docker, and Kubernetes to build reliable distributed systems
• Collaborate directly with investment and analytics teams to industrialize and scale model-driven processes, with strong exposure to market and portfolio analytics workflows
• Operate in a fast-paced environment with multiple concurrent priorities, balancing business responsiveness with engineering quality

Your present skillset

• 3–8 years of professional software development experience
• Proven experience building, deploying, and maintaining Python applications at scale
• Solid understanding of software engineering fundamentals and OOP
• Hands-on experience with cloud platforms, preferably AWS
• Familiarity with Docker
• Experience with SQL Server or similar relational databases
• A structured, pragmatic engineering mindset with strong problem-solving skills
• Clear communication and ability to work directly with business stakeholders

Good-to-Have

• Prior experience working on systems related to financial data, trading, or portfolio analytics
• Familiarity with investment management or market-facing use cases, including exposure to model evaluation, pricing logic, or time series data

 

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.