Build the Future of
Energy Trading

About us

We are a small, highly technical team building algorithmic trading strategies in European power markets. Our work sits at the intersection of energy fundamentals, machine learning, and real-time operations. In the team, everyone has meaningful impact, and interns work directly with other colleagues on production-grade problems.

What You'll Do

• Explore and analyze large-scale market and fundamental datasets to uncover patterns, stuctural relationships, and predictive signals
• Develop and prototype models ranging from statistical baselines to ML-driven predictors
• Build data pipelines and tools that improve our research velocity and operational robustness
• Investigate edge cases, anomalies, and market events, turning raw data into actionable insights
• Contribute to research discussions, challenge assumptions, and help shape the direction of our modelling efforts

Requirements

• MSc student in Machine Learning, Statistics, Physics, Quant finance, or other related fields
• Strong interest in applied ML or probabilistic modeling
• Solid experience with Python, especially in scientific computing (pandas/polars, xarray, scikit-learn, PyTorch)
• Ability to work independently and take ownership of small projects

Nice to Have

Why join us?

• You'll work directly with the founders — no layers, no bureaucracy
• Your work will be used in real trading decisions
• You'll have autonomy, responsibility, and the chance to shape tools and models from day one

About Spontaneous Applications

Convinced you can bring real value and play a key role in this journey? We're always looking for exceptional talent in quantitative finance, energy markets, machine learning, software engineering, and trading.

How to Apply

Send us your CV, a short introduction, and anything else you think might be interesting (GitHub, personal projects, research papers, Kaggle profile…).