Quantitative Developer, Commodities & Data Platforms

quberesearchandtechnologies; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Qube Research & Technologies in London is seeking a proactive Quantitative Developer to design and deploy Python-based tools for pricing, backtesting, risk analysis and PnL reporting.

You will build data pipelines for alternative datasets, collaborate with researchers and traders to translate ideas into production models, and develop cloud applications on AWS, leveraging modern data platforms and orchestration frameworks.

Qualifications

• Minimum 2 years of professional software development experience with Python.
• Strong understanding of software design principles.
• Experience with data analysis libraries such as NumPy/Pandas/Polars/Matplotlib.
• Solid SQL skills and relational databases experience.
• Experience creating data processing pipelines, e.g., Airflow.
• Familiarity with AWS and infrastructure as code practices.
• Good Git, unit testing, packaging and scripting habits.
• Experience with AI development tools to assist coding.

Responsibilities

• Design, develop and deploy quantitative tools for pricing, backtesting, risk analysis and PnL reporting.
• Build Python applications and data pipelines to explore, integrate and analyse alternative datasets.
• Collaborate with researchers and traders to translate ideas into production models.
• Architect, develop and maintain cloud applications with AWS and related technologies.
• Develop and apply models to support research and trading across commodities, metals and energy.
• Automate research and trading workflows with quantitative methods.
• Monitor and improve trading/research infrastructure for reliability and performance.

Skills

Python programming

Quantitative analysis

Autonomy and prioritisation

Collaboration with researchers andTrac

Mentoring juniors

Tools

NumPy

Pandas

Polars

Matplotlib

SQL

Airflow

AWS

CDK

Plotly

Streamlit

Job description

Qube Research & Technologies in London is seeking a proactive Quantitative Developer to design and deploy Python-based tools for pricing, backtesting, risk analysis and PnL reporting.

You will build data pipelines for alternative datasets, collaborate with researchers and traders to translate ideas into production models, and develop cloud applications on AWS, leveraging modern data platforms and orchestration frameworks.