Quantitative Developer - Python

Qube Research & Technologies

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 join a quantitative development function that works closely with Researchers, Traders and Cloud Engineering teams to build applications, data pipelines and analytics that support research and trading workflows. The role combines software engineering, quantitative development and data engineering, with responsibility for developing production applications, supporting research infrastructure and integrating large scale datasets. Your future role within QRT * Design, develop, deploy and maintain cloud native Python applications supporting research and trading workflows, including market data dashboards, risk analytics, profit and loss reporting, weather analytics and performance analysis * Develop quantitative tools including backtesting frameworks, optimisation tools, pricing libraries and ETL pipelines for integrating and validating alternative datasets * Build and maintain scalable data pipelines that support model development and production workflows * Monitor, support, debug and enhance existing research and trading infrastructure * Work closely with Researchers, Traders and Engineering teams to deliver production quality solutions that meet evolving business requirements Your present skillset * At least three years of professional Python development experience * Strong knowledge of Python, including numerical libraries such as NumPy, Pandas, Polars and Xarray * Strong quantitative mindset with an interest in working closely with trading and research functions * Experience developing user interfaces or an interest in building data visualisation applications such as Plotly, Dash or Streamlit is beneficial * Experience with AWS or another cloud platform together with infrastructure as code technologies (e.g. Lambda, S3, DynamoDB, RDS or AWS CDK is advantageous) * Good knowledge of relational databases such as PostgreSQL together with object storage technologies * Experience developing ETL pipelines and working with large scale datasets * Strong understanding of software engineering practices including version control, automated testing, packaging and deployment * Ability to work independently while collaborating closely with business and technology stakeholders to deliver production solutions * Experience with parallel or distributed computing is advantageous 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.

Qube Research & Technologies

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. Your future role within QRT   This team works on the end to end solution for signal based extra-day and intra-day strategies at QRT. - The python library/framework with which researchers can perform their research and develop their strategies. - The on-ramp pipelines and process for submitting, backtesting and validating those strategies to trading - The platform which run all those strategies in production, including the scaling and monitoring of that platform Your present skillset  - Strong python development skills, both exercised for the Python Integrator library itself, and for the tooling around the platform  - Excellent written and verbal communication skills, as we have a strong focus on user facing documentation and support - Advanced financial functional knowledge, to be able to design the feature the researchers and traders need in the library - Architectural skills to help design an ever evolving platform always on step ahead of the needs in terms of scaling - Great CI/devops mindset to help the team achieve maximal efficiency and the product to reach an excellent level of quality - Rust/C high performance computing skills to help always improve the performance of the hotspot of the different components 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.

Qube Research & Technologies

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. Your future role within QRT: * Partner closely with quantitative traders and researchers to design and build robust reporting and analytical tools that directly support trading strategies and performance monitoring * Explore, evaluate, and integrate alternative datasets to generate actionable insights and contribute to the development of innovative trading opportunities Your current skillset: * Strong proficiency in Python, with solid software engineering fundamentals * Experience building, deploying, and supporting production-grade Python applications * Ability to prioritize effectively and operate autonomously in a dynamic environment * Strong collaboration skills and the ability to communicate clearly with both technical and non-technical stakeholders * 3+ years of professional experience in software engineering or a related field Nice to have * Previous experience in finance, ideally within a hedge fund or trading environment * Familiarity with AWS or similar cloud platforms * Experience building dashboards or working with data visualization tools   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.