Role overview

We are looking for a Senior Quantitative Developer to help build and enhance our commodities research and trading technology. The role will focus on backtesting infrastructure and our commodities curve platform, working closely with portfolio managers, traders, researchers, and technology colleagues across several financial centres.

This is a hands-on development role for someone who combines strong Python skills with a product and delivery mindset. You will help turn user needs into reliable, production-quality tools and deliver them to market-facing trading teams. High ownership and a proactive attitude to work and development within the role is a must.

Responsibilities
• Design, develop, and maintain backtesting infrastructure and the commodities curve platform.
• Work closely with portfolio managers, traders, and other front-office users to understand requirements and deliver practical solutions.
• Take end-to-end ownership of projects from scoping and design through implementation, testing, deployment, and ongoing support.
• Contribute to development standards and technical direction across the platform.
• Support production systems and help resolve issues affecting research or live trading workflows.

Required Experience
• Top quality qualifications in an engineering or highly quantitative field.
• At least five years of software development experience in a financial setting. Experience with development of quantitative applications is preferred.
• Strong Python development skills and ability to write clear, maintainable, high-quality code.
• Experience working directly with business users; experience supporting portfolio managers or traders in a buy-side environment is preferred.
• A product mindset: able to define the problems to be solved, gather requirements, sequence development and deliver robust, usable solutions.
• Strong ability to prioritize work and meet stakeholder expectations.
• Clear communication skills and the ability to collaborate across technical and front-office teams.

Preferred Experience
• Experience developing backtesting, analytical or quantitative research infrastructure.
• Experience with databases and data-intensive applications.
• Experience building or supporting trading-critical infrastructure.
• Knowledge of commodities markets, curves, or related quantitative workflows.
• Experience supporting trading teams.
• Experience with advanced techniques applying LLMs to software development.