Quantitative Developer - Python

Qube Research & Technologies; Aarhus; On-site; DKK 600,000 - 900,000; Full time

Job summary

Qube Research & Technologies in Aarhus seeks a hands-on Python developer to design, build and maintain cloud-native applications and data pipelines supporting research and trading workflows.

You will work closely with Researchers, Traders and Cloud Engineering to deliver production-grade solutions, leverage NumPy/Pandas/Polars/Xarray, and contribute to ETL and visualization tools such as Plotly, Dash or Streamlit.

Qualifications

• Minimum of three years of professional Python development experience.
• Strong knowledge of Python with libraries NumPy, Pandas, Polars and Xarray.
• Interest or experience in building data visualization apps (Plotly, Dash or Streamlit) is a plus.
• Experience with AWS or other cloud platforms and infrastructure as code is advantageous.

Responsibilities

• Design, develop, deploy and maintain cloud-native Python applications supporting research and trading workflows.
• Develop quantitative tools including backtesting frameworks, optimisation tools, pricing libraries and ETL pipelines.
• Build and maintain scalable data pipelines that support model development and production workflows.
• Monitor, support, debug and enhance existing research and trading infrastructure.
• Collaborate with Researchers, Traders and Engineering teams to deliver production quality solutions.

Skills

Python development

NumPy

Pandas

Polars

Xarray

AWS

Data pipelines

ETL

Visualization tools

PostgreSQL

Tools

AWS

Lambda

S3

DynamoDB

RDS

AWS CDK

PostgreSQL

Plotly

Dash

Streamlit

Job description

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.