Senior Quantitative Developer - Python
Dubai On-site
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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 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. You will work within a front office Quantitative Development function, partnering closely with Researchers and Traders to build production systems that support research, trading, portfolio construction and risk analysis. The role focuses on developing cloud based Python applications, quantitative tooling and scalable data platforms that enable investment decisions across complex financial markets.
What you'll bring
- 5 to 10 years of experience in quantitative development or software engineering within financial markets
- Strong experience supporting Researchers, Portfolio Managers or Traders in a front office environment
- Advanced Python programming skills, including experience with NumPy and pandas
- Strong quantitative, statistical and financial knowledge
- Experience building production quality analytical systems that process large volumes of data
- Experience with SQL, relational databases and ETL or ELT pipelines
- Experience with AWS or another major cloud platform together with infrastructure as code practices
- Strong software engineering practices including Git, automated testing, packaging, continuous integration and production monitoring
- Practical experience using AI assisted software development tools
- Experience with FastAPI, Plotly, Dash or Streamlit is beneficial
- Experience with Docker, Kubernetes, workflow orchestration or distributed computing is advantageous
- Experience with AWS services such as S3, Lambda, RDS, DynamoDB, ECS or AWS CDK is beneficial