Senior Quant Developer

SENQUANTDEVEUROPESH0126
  • Excellent salary
  • European Economic Area
  • Permanent
Job Description

We are supporting a high-performing European energy trading firm in the build-out of a new quantitative and algorithmic trading capability. This is a rare opportunity for an experienced energy-focused Quant Developer to play a foundational role in shaping models, strategy, and technical direction from day one.

The firm trades across Nordic and Continental European power markets, with a clear focus on electricity futures and FTR products. This is not an intraday trading environment.

The Opportunity

You will join a lean, highly technical team tasked with developing forward-looking price models and converting them into systematic trading strategies used in live markets.

Key areas of focus include:

  • Development of structural and market-based power price forecasting models, such as:
    • Flow-based market coupling (FBMC)
    • Order book and bid curve dynamics
    • Supply stack / merit order modelling
    • Feature engineering from fundamental, market, and flow data
    • Application of machine learning techniques to improve forecast accuracy and decision-making
    • Quantitative research into systematic trading strategies for power futures
    • Implementation of models into algorithmic signal generation frameworks
    • Close collaboration with traders on discretionary and automated execution

The role covers the full lifecycle: data, research, modelling, back-testing, and production deployment.

Candidate Profile

This search targets senior-level quants with both technical depth and real market exposure. The client values professionals who are comfortable operating as generalists in small, high-ownership teams.

Key requirements include:

  • Strong software development skills
  • Python required; performance-oriented languages a plus
  • Sound engineering practices and model production experience
  • Bachelor’s degree in Computer Science or equivalent preferred
  • Advanced modelling & machine learning capability
  • Hands-on experience applying ML to financial or energy markets
  • Master’s degree in Machine Learning, AI, Applied Mathematics, or similar is advantageous
  • Quantitative finance & statistical expertise
  • Solid grounding in statistics, forecasting, and strategy evaluation
  • Direct experience in quantitative energy trading (essential)
  • Proven exposure to electricity futures and/or FTR markets
  • Deep understanding of European power market structure

Pure intraday profiles will not be considered.

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