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.

Remote job Esg Analytics Programme job in Italy (1)

Sign up to Job Alerts!

Quant Trader / Researcher / Global Digital Asset Markets / Remote

Boost your career