Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Airflow @ 1
Algorithms @ 6
Azure @ 1
Databricks @ 1
Kafka @ 1
Kubernetes @ 1
Machine Learning
Mathematics @ 3
Python @ 6
Snowflake @ 1
Statistics @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
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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