Quant Developer (Energy & Commodities Trading)

Location: Aarhus Area

About the Company

Our client is a well-capitalized proprietary trading and investment firm operating within the European energy markets. The business combines deep market expertise with a highly analytical and technology-driven approach to trading. Despite an established track record, the environment remains entrepreneurial in nature, with a small, high-calibre team where engineers, traders, and quantitative specialists work closely together to develop and deploy new trading strategies.

This is an opportunity to join a growing technology team and have a direct impact on the firm's trading performance, research capabilities, and future technology stack.

The Role

We are seeking a Quant Developer to help build and enhance the systems that power systematic and discretionary trading across European power and commodity markets.

This role sits at the intersection of quantitative research, software engineering, data science, and trading. You will work directly alongside traders and decision-makers to develop analytics, trading tools, execution systems, and data-driven models that support trading activities.

The ideal candidate combines strong software engineering fundamentals with quantitative thinking and enjoys solving complex real-world problems in a fast-paced trading environment.

Key Responsibilities

• Design and develop quantitative trading tools, analytics platforms, and research infrastructure.
• Build data pipelines for large-scale market, fundamental, and alternative datasets.
• Develop and maintain systematic trading and forecasting models.
• Work closely with traders to identify opportunities for automation and process improvements.
• Enhance trading performance through research, analysis, and system optimisation.
• Design scalable solutions for data processing, simulation, backtesting, and execution.
• Contribute to the development of AI and machine learning initiatives across forecasting, market analysis, and trading decision support.
• Participate in the full development lifecycle from idea generation through production deployment.

Desired Background

• Strong software development experience in Python and/or C++.

• Experience working as a Quant Developer, Quantitative Research Engineer, Trading Systems Developer, or similar role.

• Background within:

  • Energy Trading
  • Power Trading
  • Commodities Trading
  • Proprietary Trading
  • Quantitative Trading
  • Systematic Trading

• Solid understanding of:

  • Statistical modelling
  • Market data analysis
  • Backtesting methodologies
  • Algorithmic trading concepts
  • Data engineering principles

Preferred Experience

• Experience within power, gas, carbon, or wider commodity markets.
• Exposure to machine learning or AI-driven forecasting techniques.
• Experience developing predictive models for price forecasting, optimisation, or market analysis.
• Familiarity with cloud platforms and modern data infrastructure.
• Knowledge of time-series analysis and large-scale data processing.
• Experience working directly with traders or portfolio managers.

What They're Looking For

The successful candidate will likely be someone who:

• Thrives in a small, highly collaborative environment.
• Takes ownership and enjoys building solutions from the ground up.
• Is comfortable wearing multiple hats across research, engineering, and trading support.
• Can move quickly from idea to implementation.
• Enjoys solving challenging quantitative and technical problems with real commercial impact.

Why Join?

• Direct exposure to trading decisions and commercial outcomes.
• Opportunity to help shape a growing technology function.
• Work closely with experienced traders and quantitative professionals.
• Significant autonomy and ownership.
• Small-team environment where individual contributions are highly visible.
• Opportunity to leverage AI, machine learning, and quantitative techniques within a real-world trading business.

This position would suit a Quant Developer coming from a trading, commodities, energy, hedge fund, market-making, or quantitative technology background who wants a highly impactful role within a technology-driven trading environment.