Quant Short-Term Trading

at Eneco
EUR 80,000-107,000 per year
MIDDLE
✅ Hybrid

Tech Stack

Airflow @ 1 Algorithms @ 6 Azure @ 1 Databricks @ 1 Kafka @ 1 Kubernetes @ 1 Machine Learning Mathematics @ 3 Python @ 6 Snowflake @ 1 Statistics @ 3

Details

As a Quant in the Flex Optimization team at Eneco Trading, you will develop data-driven solutions that maximize the value of Eneco’s steerable asset portfolio by optimizing flexibility across short-term power and ancillary markets. You will build optimization strategies, bidding algorithms, and machine learning models for fast-moving, real-time energy markets, including real-time trading applications for Battery Energy Storage Systems (BESS). You will work closely with quants and traders, with a strong focus on ownership, scalable automation, deployment, and continuous improvement.

Responsibilities

  • Develop and maintain data-driven applications for cross-market optimization, bidding, and decision-making.
  • Apply mathematical optimization, machine learning, heuristics, and other quantitative methods.
  • Drive automation and scalability by identifying manual processes that can be streamlined and operationalized.
  • Identify new ways to add value with analytics in close collaboration with traders.
  • Work with large and growing datasets to improve forecasting, modelling, and decision-support tooling.
  • Productionize applications and algorithms in a robust and reliable manner.

Requirements

  • A quantitative MSc or equivalent experience in Computer Science, Mathematics, Statistics, Econometrics, or a related quantitative field.
  • At least 3 years of hands-on experience in a quantitative role within a business context; experience in energy trading is an advantage.
  • Strong quantitative problem-solving skills and experience developing algorithms or analytical models.
  • Experience with non-linear or linear optimization is an advantage.
  • Strong Python development skills, including writing clean and modular code, implementing unit tests, and establishing proper monitoring.
  • Experience building and deploying scalable cloud applications or algorithms, including work with streaming data.
  • Experience with Azure Cloud, Databricks, Kubernetes, Airflow, Snowflake, or Kafka is an advantage.
  • Ability to understand business problems and translate them into robust, data-driven solutions.
  • A proactive attitude, ownership, and the drive to implement improvements.

Benefits

  • Gross annual salary of €80,000–€107,000, including FlexBudget and an 8% holiday allowance.
  • Depending on the role, a bonus or collective profit sharing.
  • Personal and professional development support.
  • Hybrid working: 40% in the office, 40% from home, and 20% flexibly.
  • With manager approval, the option to work abroad within approved countries for up to 3 weeks per year, with a maximum of 2 consecutive weeks.
  • Flexible working hours and the option to work from home where applicable.

The role is part of the Flex Optimization team within Trading & Structuring, located near Rotterdam-Alexander station.

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