Algorithm Developer - C# .NET | Aalborg, Denmark | Energy Trading Technology

A leading energy trading organisation is looking for a talented Algorithm Developer to join its high-performing quantitative trading technology team in Aalborg.

This is an opportunity to work at the intersection of software engineering, quantitative research and energy trading, developing cutting-edge algorithmic trading systems that directly impact commercial performance across European energy markets.

The Opportunity

You'll become part of a collaborative team of software engineers, mathematicians, physicists and quantitative specialists focused on researching, developing and deploying automated trading strategies. Working closely with traders and researchers, you'll help build and evolve a proprietary algorithmic trading platform used to support Real Time decision-making in fast-moving energy markets.

Key Responsibilities

• Design, develop and enhance a proprietary algorithmic trading platform using C# .NET.

• Build, test and deploy automated trading strategies.

• Support the full development life cycle from research through to live trading.

• Develop internal tools and data management solutions.

• Collaborate with traders, researchers and developers to bring new trading concepts to market.

• Contribute ideas that help improve trading performance and platform capabilities.

What We're Looking For

• Strong commercial experience with C# and the .NET ecosystem.

• Excellent understanding of object-oriented development principles.

• Experience with concurrent or asynchronous programming and performance-focused development.

• Passion for software engineering and delivering high-quality code.

• Strong communication skills and fluent English.

• Master's or PhD in Computer Science, Software Engineering or a related discipline.

Desirable Experience

• Kafka, RabbitMQ or other streaming/message-bus technologies.

• Large-scale data processing and database technologies.

• Trading systems or financial markets exposure.

• Quantitative skills covering mathematics or statistics.

• Python, R or machine learning tools used alongside C# development.

Why Apply?

• Work on sophisticated algorithmic trading technology with direct commercial impact.

• Join an organisation investing heavily in technology and innovation.

• Collaborate with some of the strongest quantitative and engineering talent in the industry.

• Flexible, entrepreneurial culture that encourages experimentation, learning and professional growth.

• Opportunity to play a key role in Europe's evolving energy transition and renewable energy markets.

If you're a passionate C# engineer who enjoys solving complex technical challenges and wants to work in a data-driven trading environment, we'd love to hear from you.

For a confidential discussion, please apply today or contact (see below)