Quantitative Developer - Python, Data & Trading Tools

Qube Research & Technologies; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Qube Research & Technologies in London seeks a Quantitative Developer to design, build and deploy Python-based tools for research and trading across commodities. You will construct data pipelines, analytical models, and dashboards in collaboration with researchers, traders and data engineers.

The role emphasizes strong Python programming, SQL, and cloud experience (AWS). You will implement scalable solutions, apply ML techniques, and contribute to reliable, maintainable codebases in a

Qualifications

• Minimum 2 years of professional software development experience.
• Strong Python programming skills.
• Experience building data processing pipelines.
• Experience with relational databases and SQL.
• Familiarity with cloud platforms (AWS) and IaC practices.
• Experience with data visualization tools (Plotly/Streamlit/Dash/htmx).
• Knowledge of ML/statistical modelling is beneficial.
• Ability to collaborate with Researchers, Traders and Engineers.

Responsibilities

• Design, develop and deploy quantitative tools for trading and research.
• Build Python applications and data pipelines for alternative datasets.
• Collaborate with researchers and traders to translate ideas into production models.
• Architect and maintain cloud applications using AWS services.
• Develop and apply statistical and ML models for Agriculture, Metals and Energy.
• Automate research workflows and optimize trading processes.
• Monitor and improve reliability of trading infrastructure.

Skills

Python programming

Quantitative analysis

Autonomous work

SQL proficiency

Tools

AWS

Airflow

Plotly

Streamlit

Dash

htmx

Snowflake

DynamoDB

RDS

S3

Lambda

AWS CDK

Job description

Qube Research & Technologies in London seeks a Quantitative Developer to design, build and deploy Python-based tools for research and trading across commodities. You will construct data pipelines, analytical models, and dashboards in collaboration with researchers, traders and data engineers.

The role emphasizes strong Python programming, SQL, and cloud experience (AWS). You will implement scalable solutions, apply ML techniques, and contribute to reliable, maintainable codebases in a