Python Developer

A leading commodities trading business is looking to hire a Junior Python Developer to join its front-office technology and analytics function in London.

This role sits within a highly technical team supporting trading, risk, and quantitative analytics platforms across physical and derivatives markets. You'll work closely with traders, quants, and senior engineers on the development of modern data and analytics tooling used across the business.

The environment is C# and Python-focused, with increasing adoption of cloud-native data technologies including Databricks, whilst also integrating with established quantitative pricing and risk platforms such as Numerix.

This is an excellent opportunity for a junior engineer with strong Python fundamentals and exposure to data engineering or financial analytics to gain hands-on experience in a fast-moving commodities trading environment.

• Develop and maintain Python-based analytics and data applications
• Build and support Databricks workflows, notebooks, and data pipelines
• Assist with integration of Numerix pricing and risk models into internal tooling
• Work with large market data and trade datasets across commodities products
• Support front-office users including traders, structurers, and risk teams
• Contribute to pricing, PnL, exposure, and risk reporting tools
• Improve automation, data quality, and operational efficiency across the platform
• Collaborate with senior developers and quantitative teams on new analytics capabilities
• Participate in debugging, testing, and production support activities

• Python
• Databricks / Apache Spark
• SQL
• Pandas / NumPy
• Git
• REST APIs
• Cloud technologies (Azure or AWS)
• Numerix (or equivalent pricing/risk platform)
• Jupyter / notebook-based analytics workflows

• 1-3 years' commercial Python development experience
• Strong understanding of data structures and software engineering fundamentals
• Experience working with data engineering or analytics tooling
• Exposure to Databricks, Spark, or cloud-based data platforms
• Understanding of SQL and relational databases
• Excellent problem-solving and communication skills
• STEM or Computer Science degree preferred

• Exposure to commodities, trading, or financial markets
• Experience with derivatives pricing or risk systems
• Knowledge of Numerix or similar quant/risk platforms
• Understanding of ETL and data pipeline design
• Experience working in Agile delivery environments

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.