A growing trading business focused on European power markets is expanding its quantitative team in Denmark.
The firm is active in intraday markets and is investing heavily in building a more systematic, data-driven trading capability. With core infrastructure already in place, the focus is now on developing robust models and scalable strategies that can be deployed in live environments.
This is a small team where impact is immediate. The role offers direct exposure to trading, model development, and technical build-out, with the opportunity to shape how the platform evolves.
The Role
You will work across the full research and trading lifecycle, contributing directly to live strategies.
- Analyse intraday market behaviour and identify repeatable trading opportunities
- Develop, test, and refine quantitative models and systematic strategies
- Conduct rigorous backtesting and performance analysis
- Work with time series and real-time datasets to generate signals
- Contribute to the development of a scalable research and trading framework
- Collaborate closely with trading and engineering to move ideas into production
Candidate Profile
- Strong quantitative background (mathematics, statistics, physics, engineering, econometrics or similar)
- Strong programming skills (Python preferred) and ability to write clean, maintainable code
- Experience building data-driven models, ideally involving time series or real-time data
- Background in systematic trading, quantitative research, or similarly data-intensive environments
Energy or commodities experience is not required.
Candidates from other systematic areas (e.g. equities, futures, macro, volatility, crypto) are equally relevant.
- Comfortable operating in a fast-paced, early-stage environment with a high level of ownership
Working Environment
- Small, collaborative team with high visibility of impact
- Direct communication and low hierarchy
- Focus on quality, scalability, and long-term thinking
- High autonomy with responsibility for outcomes
What’s on Offer
- Opportunity to help build and scale a systematic trading capability
- Direct involvement in live trading and model deployment
- Existing infrastructure to build on, with freedom to improve and extend
- Strong growth potential as the business expands
- Competitive compensation aligned with experience and impact
If you’re looking to apply systematic thinking in a live trading environment — with real ownership and the ability to shape outcomes — this is a strong opportunity.
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