Senior 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.
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.
Your future role within QRT
Design, develop, deploy and support cloud based Python applications for research and trading
Build quantitative tools including backtesting frameworks, optimisation engines, pricing libraries, risk analytics and research platforms
Develop scalable data pipelines for market, fundamental and alternative datasets, including weather and supply and demand data
Build interactive applications and dashboards to support market analysis, risk management, profit and loss analysis and portfolio performance
Apply AI assisted development tools to improve engineering productivity, testing, documentation and debugging
Contribute to AI enabled applications and workflows that support research and trading activities
Improve the scalability, reproducibility and operational reliability of research workflows
Take ownership of projects from requirements gathering and technical design through deployment, monitoring and ongoing support
Collaborate with Researchers, Traders, Data Engineers, Cloud Engineers and Production Support teams to deliver business critical solutions
Your present skillset
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
Previous experience in commodities markets, commodity fundamentals, weather data, trade flows or supply and demand modelling is advantageous
Strong communication skills with the ability to work collaboratively and deliver solutions from business requirements through to production
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.