Real-Time Energy Trading Quant & Optimization

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

Job summary

Eneco Trading in Rotterdam seeks a Quant in the Flex Optimization team to maximize value of steerable assets by optimizing flexibility across short-term power and ancillary markets.

You will build optimization strategies, bidding algorithms and ML models for real-time energy markets, deploying them with a fast feedback loop.

Join a team that values ownership, scalable automation, and close collaboration with traders to deliver measurable impact from day one.

Qualifications

• 3 years of hands-on experience in a quantitative role within a business context.
• Strong Python development background with clean, modular code and unit tests.
• Experience with optimization or analytics in trading, energy or similar domains is a plus.

Responsibilities

• Develop data-driven optimization, bidding and decision-support tools.
• Drive automation and scalable deployment of models in a fast-moving energy market.
• Collaborate with traders and fellow quants to deliver high-impact analytics.

Skills

Python

Optimization

Quantitative analysis

ML basics

Unit testing

Monitoring

Cloud deployment

Azure

Databricks

Kubernetes

Airflow

Snowflake

Kafka

Education

MSc in a quantitative field

Tools

Azure Cloud

Databricks

Kubernetes

Airflow

Snowflake

Kafka

Job description

Eneco Trading in Rotterdam seeks a Quant in the Flex Optimization team to maximize value of steerable assets by optimizing flexibility across short-term power and ancillary markets.

You will build optimization strategies, bidding algorithms and ML models for real-time energy markets, deploying them with a fast feedback loop.

Join a team that values ownership, scalable automation, and close collaboration with traders to deliver measurable impact from day one.