Apply now →Applications go to Qube RT (QRT)'s own site.
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 patents our capability for innovation continuously drives our ambition to deliver high-quality returns for our investors.
You will join a front office Quantitative Development team, 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 pipelines that enable investment decisions across complex financial markets.
Your future role at QRT
Design, develop, deploy reference cloud based Python quantitative applications and backtesting systems
Build quantitative tools including backtesting frameworks, optimization engines, pricing libraries, risk analytics and research platforms
Develop real-time data pipelines for market, fundamental, and alternative datasets, including weather and supply-demand data
Build interactive applications to support market analysis, risk management, and profit/loss and portfolio performance
Apply AI tools as development support to improve engineering productivity, testing, and debugging
Contribute to AI-enabled applications and workflows that support research and research and trading
Improve the scalability, reproducibility and operational reliability of research workflows
Own projects from requirements gathering to design, working through testing, deployment, monitoring, and ongoing support
Collaborate with Researchers, Traders, Data Engineers, Cloud Engineers and support teams to deliver business critical, adaptable solutions
Your present skillset
5 to 10 years minimum of relevant experience in quantitative development or software engineering within financial markets
Strong experience supporting, researchers, Portfolio Managers or Traders in a front office
Advanced Python development with experience in NumPy and pandas, and core Python
Strong quantitative, continuous, and financial intelligence
Experience building production-quality analytical systems that handle large-scale data
Experience with SQL, relational databases and ETL/ ELT pipelines Experience with AWS or another top-tier cloud provider, along with cloud-tooling, and strong software engineering and\/debugging, Repo, testing, packaging, CI/CD, building and integration.
Experience with Spring Boot, Flask, FastAPI, Plotly, Dash or Streamlit preferred
Experience with Docker, Kubernetes, workflow orchestration or distributed computing
Experience with AWS CDK, S3, Lambda, ECS, DynamoDB and orchestration is beneficial
Previous experience in commodities, payments, or trading infrastructure is of advantage
Strong communication skills with the ability to work with collaboratively and deliver solutions from needs to production
QRT is an equal opportunity employer. We welcome all diversity, inclusive and collaborative,
At QRT we are committed to an include, respectful and collaborative workplace where employees feel empowered. Complement work-life balance initiatives.