Staff Quantitative Researcher – Energy Trading (f/d/m)

In this staff-level role, you shape the technical vision for Entrix's algorithmic trading stack and lead alpha generation for real-time energy markets across Europe. You bridge quantitative research and applied data science, delivering end-to-end pipelines from signal research and backtesting to live trading and P&L attribution. You mentor data scientists, tackle high-impact, ambiguous challenges, and guide the team toward robust, production-ready solutions. This is a senior, IC position focused on innovation, system design, and strategic technical leadership.

• salary with growth potential
• annual development budget for coaching and training
• health and sport subsidy
• public transportation subsidy
• digital meal vouchers
• choice of MacBook or Windows laptop and ergonomic setup

• Define the technical vision and roadmap for the trading stack and align methodology, success metrics, and system design with the team
• Research, develop, and productize forecasts and strategies that generate alpha in 24/7 European energy markets using ML and optimization
• Enhance backtesting, simulation, and P&L attribution with rigorous validation, risk controls, and automated testing
• Mentor data scientists, promote engineering rigor (code quality, observability, reproducibility), and oversee complex projects from research to production
• Own delivery of ambiguous projects from conception to live deployment

• 7+ years in quantitative research or applied data science with substantial live trading algorithm experience in energy or financial markets
• Proven P&L contribution from researched, backtested, and deployed strategies
• Deep understanding of trading mechanics (price formation, market microstructure, execution, slippage, risk, position sizing)
• Strong time series modelling under non-stationarity and regime shifts with walk-forward validation and backtesting discipline
• Strong Python and software engineering practices (testing, code review, CI/CD, monitoring, modular design)
• Proven ability to mentor junior team members and elevate technical standards
• University degree in Computer Science, Mathematics, Physics, or related quantitative field
• Excellent English communication and interpersonal skills

• Mentoring and coaching
• Strong communication and collaboration across cross-functional teams
• Problem framing and strategic thinking
• Machine learning and forecasting
• Mathematical optimization (LP, MILP, stochastic)
• Production-level system design and deployment