Location: Aarhus, Denmark
Company: InCommodities Asset Management
Application deadline: We’ll review applications on an ongoing basis, so don’t wait too long to send yours
Turn data into trades — and insight into impact.
We are looking for a Quantitative Trader to join our expanding Quantitative Trading team at InCommodities Asset Management. In this role, you will be part of our daily trading operations and actively participate in moving the green transition forward. From day one, you’ll use your analytical skills to enhance our trading strategies — creating meaningful impact and helping us advance our mission to become a leading force in Asset management. Sounds like your kind of challenge? Then keep reading.
The Journey
At InCommodities Asset Management, we're not just building a company – we're facilitating the future of renewable energy.
Back in 2022, we launched our dedicated Asset Management (AM) team in Aarhus, Denmark, with a clear ambition: to accelerate the green transition by making renewable energy investments both attractive and bankable. Through Power Purchase Agreements (PPAs), we help renewable asset owners and producers unlock value, manage risk, and ensure stable, long-term returns.
In 2025, we took the next bold step – becoming an independent company. This move gives us full autonomy and a sharp commercial focus on asset trading and optimization.
Now, we’re a fast-growing team of 35+ ambitious professionals, and we’re just getting started. With big plans to scale across the entire renewable value chain, now is the perfect time to come on board and be part of something meaningful – and truly exciting.
Ready to rethink the future of energy with us?
What you’ll do
You’ll join a team of ambitious and skilled traders — working together to trade and optimize our renewables portfolio around the clock. You’ll take part in our daily operations, keeping a close eye on market movements and algorithmic performance to ensure our strategies stay sharp and effective. Over time, you’ll play a key role in shaping our trading setup and developing innovative approaches that strengthen our market position. Day-to-day, you’ll:
- Be an active part of the trading team and participate in the shift rotation (including weekend shifts) to monitor and trade our renewables portfolio in the 24/7 intraday market
- Monitor the performance of trading algorithms, identify risks , issues or anomalies, and deploy necessary adjustments to ensure optimal performance
- Develop into a domain expert within relevant markets and products
- Analyze fundamental drivers of power prices by utilizing quantitative techniques and market data
- Contribute to existing- and develop new algorithmic trading and asset optimization strategies
What you bring
- 0-2 years of professional experience within trading or similar
- Background in STEM fields (Statistics, Applied Mathematics, Engineering, Physics) or in Finance/Econometrics
- Basic coding knowledge, preferably in Python
- Interest in the fields of time series analysis and predictive modelling
- You’re fluent in English, both written and verbal
- You’re based in or willing to relocate to Aarhus, Denmark
How you work
- You’re detail-oriented and quality conscious
- You’re self-motivated with a can-do attitude in your work
- You can navigate in a dynamic and fast-paced trading environment
- You have a curious and open mindset towards different tasks and challenges
- You appreciate direct, honest and constructive ways of communication and collaboration
- You’re a team player who will do what is best for the team and InCommodities Asset Management
What you can expect
- A tech-driven scale-up company, which challenges how energy assets are traded and optimized
- A great start-up environment with a high degree of autonomy and flexibility to drive real impact
- Curious, ambitious and bold people who come together to rethink what’s possible
- A unique company culture where we live up to our values: Honesty, Transparency, and Rethink
- Flat hierarchy — no dress code, no meaningless bureaucracy
Like what you’re reading? Apply now – we’d love to hear from you!