Quant: Real-Time Energy Trading & Optimization

Eneco-; Rotterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Eneco Trading seeks a Quant in the Flex Optimization team to maximize 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 ML models that operate in fast-moving energy markets, including real-time trading for Battery Energy Storage Systems. You’ll work with quants and traders in a fast, ownership-focused environment.

Qualifications

• 3 years of hands-on experience in a quantitative role within a business context.
• Prior experience in (energy) trading or Battery Storage Systems is a plus.
• Strong quantitative problem-solving skills and experience developing algorithms or analytical models.
• Experience with (non-)linear optimization is a plus.
• Strong background in Python development: clean, modular code with unit tests and monitoring.
• Experience building and deploying scalable applications and/or algorithms in the cloud, including streaming data.
• Experience with our tech stack (Azure Cloud, Databricks, Kubernetes, Airflow, Snowflake and Kafka) is a plus.
• Ability to translate business problems into robust, data-driven solutions.

Responsibilities

• Develop data-driven applications for cross-market optimization, bidding and decision-making using optimization, ML, heuristics and other quantitative methods.
• Drive automation and scalability by identifying manual processes to streamline and operationalize.
• Identify new analytics opportunities in collaboration with traders to deliver integrated, high-impact solutions.

Skills

Quantitative problem-solving

Algorithms development

Python development

Cloud deployment

Streaming data

Education

Quantitative MSc or equivalent

Tools

Azure Cloud

Databricks

Kubernetes

Airflow

Snowflake

Kafka

Job description

Eneco Trading seeks a Quant in the Flex Optimization team to maximize 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 ML models that operate in fast-moving energy markets, including real-time trading for Battery Energy Storage Systems. You’ll work with quants and traders in a fast, ownership-focused environment.