Commodities Quantitative Developer - Global Hedge Fund

Saragossa; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Saragossa, a leading hedge fund, is seeking a Quantitative Developer in London to join the front office team. You will bridge software engineering and quantitative development, building tools and models for traders.

You’ll work closely with commodities traders on pricing models, curve construction, and market analysis platforms, ensuring production-ready solutions for trading desks. The role requires strong Python skills and in-depth knowledge of gas, power, oil, and energy markets.

Qualifications

• Strong proficiency in Python and software engineering for trading tools.
• Deep knowledge of commodities markets (gas, power, oil, energy) and market dynamics.
• Experience constructing curves and developing pricing models.
• Experience productionising quantitative models for front-office use.

Responsibilities

• Collaborate with traders to design and implement tooling that enhances trading performance.
• Build pricing tools, market analysis platforms, and risk management components.
• Productionise quantitative models and ensure robustness and integration with front-office workflows.
• Support rapid development in a fast-paced trading environment.

Skills

Python

Commodities markets knowledge

Pricing models

Pricing tools

Job description

Are you a Quantitative Developer with a passion for commodities and a desire to work directly with traders in a dynamic front-office environment?

This is an opportunity to bridge the gap between software engineering and quantitative development, joining a leading hedge fund to create the tools and models for trading desks.

In this role, you’ll collaborate closely with the commodities traders to design and implement solutions that drive trading performance.

From building pricing tools and market analysis platforms to creating risk management systems, your work will directly enhance the efficiency and decision-making of traders. You'll also be tasked with productionising quantitative models, ensuring they are robust, scalable, and seamlessly integrated into front-office workflows.

You’ll need strong proficiency in Python, along with deep knowledge of commodities markets, particularly in areas such as gas, power, oil, and energy. Experience with curve construction, commodities pricing, and the development of pricing models is essential, as is the ability to demonstrate an understanding of market dynamics beyond P&L analytics.

This role is suited for those who thrive in fast-paced environments, enjoy working alongside traders, and have experience within commodities.

If you’re ready to move your technical expertise to the forefront of trading and make a real impact in commodities markets, this is your chance.