Data Scientist Short Term Trading

Details

As a Quant in the Flex Optimization team within 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 to identify opportunities where analytics can add value. The role emphasizes ownership, scalable automation, fast feedback loops, and productionizing applications in a robust and reliable manner.

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.
• Build optimization strategies, bidding algorithms, and analytical models for short-term power and ancillary markets.
• Develop applications for real-time energy trading, including BESS use cases.
• Drive automation and scalability by identifying manual processes that can be streamlined and operationalized.
• Improve forecasting, modelling, and decision-support tooling using large and growing datasets.
• Productionize applications and algorithms in a robust and reliable manner.
• Identify new ways to add value with analytics in close collaboration with traders.

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.
• Prior experience in energy trading is a plus.
• Strong quantitative problem-solving skills and experience developing algorithms or analytical models.
• Experience with non-linear or linear optimization is a plus.
• Strong Python development background, including clean and modular code, unit testing, and proper monitoring.
• Experience building and deploying scalable applications and/or algorithms in the cloud.
• Experience working with streaming data.
• Experience with Azure Cloud, Databricks, Kubernetes, Airflow, Snowflake, or Kafka is a plus.
• Ability to understand business problems, distinguish main from secondary issues, and translate them into robust, data-driven solutions.
• A proactive approach, ownership, and the drive to deliver improvements.

Benefits

• Gross annual salary of €80,000–€107,000, including FlexBudget and 8% holiday allowance; depending on the role, a bonus or collective profit sharing may also apply.
• FlexBudget can be paid out, used to purchase additional holiday days, or saved.
• Personal and professional development support.
• Hybrid working: 40% in the office, 40% from home, and 20% flexibly.
• With manager approval, working abroad within approved countries is possible 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 the role allows it.
• The position is located next to Rotterdam-Alexander station.