Lead Quant Trading & Forecasting in Energy Markets

Enemix

Randstad

On-site

EUR 120,000 - 180,000

Full time

24 hours ago
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Benefits offered by this job

26 days holiday
Weekend work allowance 50%

Job summary

Enemix in the Netherlands seeks a Team Leader of Quantitative Trading to lead the in-house quant trading and forecasting team within the energy division. You will drive development, testing and deployment of trading models and forecasting tools, and oversee short-term positions in day-ahead and intraday markets.

You will mentor quants and data engineers, collaborate with cross-functional teams to optimise the trading portfolio, and report to senior management on model performance and

Qualifications

  • 5–10 years of energy trading experience in a physical or asset-backed business.
  • Proven leadership of quants or data engineers, ideally with a team lead or managerial title.
  • Strong knowledge of day-ahead, intraday, balancing, and congestion markets.
  • Proficient in Python and SQL with hands-on trading algorithm development.
  • Expertise in time series analysis, statistical modelling, and forecasting, including ML or RL.
  • Experience setting up and governing model architecture in a live trading environment.
  • Fluency in Dutch.

Responsibilities

  • Lead and mentor a growing team of quant traders and data engineers.
  • Develop and refine trading algorithms and forecasting models.
  • Monitor market conditions and execute short-term trading strategies.
  • Collaborate with cross-functional teams to optimise the trading portfolio and develop innovative products.
  • Regularly report on trading and model performance to senior management.
  • Stay updated on market trends and integrate new data sources into trading strategies.

Skills

Energy trading
Leadership
Python/SQL
Time series analysis
Machine learning
Reinforcement learning
Model governance
Dutch language

Job description

Enemix in the Netherlands seeks a Team Leader of Quantitative Trading to lead the in-house quant trading and forecasting team within the energy division. You will drive development, testing and deployment of trading models and forecasting tools, and oversee short-term positions in day-ahead and intraday markets.

You will mentor quants and data engineers, collaborate with cross-functional teams to optimise the trading portfolio, and report to senior management on model performance and

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