Quantitative Developer - Algorithmic Trading

Every day we work hard to make our slogan 'sustainable energy for everyone' a reality. With over 2,000 colleagues, we help millions of consumers and many companies switch to sustainable energy with our energy services. We do this with smart, sustainable and affordable products and services. From generation to trading and from storage to sharing and delivery. We are also one of the largest investors in the development of wind farms, large solar roofs and heat networks.

Make short- and long-term energy purchasing decisions. The team of traders, commercial analysts and meteorologists ensures that there is enough power and gas every day to meet demand. Of course at the right price and with low risks. On the trading floor, you are primarily responsible for Eneco's first-line risks. Energy has to be purchased for a customer now, even if you don't know everything exactly. This is an intellectual challenge with a clear proposition: Eneco wants to be climate neutral by 2035.

As a Quantitative Developer, you will become part of Eneco’s Intraday Trading department. The team trades various European Power Markets both automated and manually, aiming to execute trades in an automated manner as much as possible. With your quantitative skills you will work alongside a team of traders, understanding market drivers and developments by being part of daily decisions. By developing Eneco’s algorithmic trading strategies in the Intraday Power Market, you will translate our knowledge into the company’s financial success. This is a unique opportunity to shape the way Eneco trades and optimizes its portfolio.

• Develop and implement algorithmic trading strategies in our core power markets to financially optimize our positions while managing risk exposure adequately.
• Maintain and improve current trading algorithms, adapt our strategies to market developments.
• Monitor trade execution as well as debugging unwanted behavior, analyze historic trade performance.
• Uphold and continue to enhance the company’s standards and best practices for algorithmic trading, including documentation, extensive testing, and peer reviews.
• Collaborate closely with traders to continually fine-tune models.

Entrepreneurship, result-oriented and good people skills are competences that you need to have in order to operate in a dynamic continuously improving environment. There are plenty of chances and developments in our current market that needs to be spotted and be acted on. A strong business acumen i.e. recognizing deals that are the most profitable and having the knowhow how to close it is essential and indispensable.

You also bring in:

• Master’s degree in Computer Science, Data Science or a related STEM field.
• Ideally experience with the European short term power market (day-ahead/intraday/imbalance markets).
• Proficiency in algorithmic development using Python and its data stack (e.g., Pandas, NumPY, SciPY, scikit-learn).
• Proactive and independent way of working, while being a team player who enjoys achieving collective goals.
• Ability to work in a fast-paced environment, being detail-oriented, well-structured and meeting deadlines on time.

At Eneco Energy Trade, some 150 colleagues work at the heart of the organization. This is where the supply and demand of energy converge. Where we bundle our own and external energy flows and ensure that there is enough energy to meet demand. The international team consists of several divisions: Sourcing & Pricing, Trading, Portfolio Optimization, Structuring & Organization, Business Development, Energy Operations & IT Management.

Want to know more? Ozlem Bulun, Head of Intraday Trading will happily answer your questions through Ozlem.bulun@eneco.com. For more information on the procedure, you can contact the recruitment team.

For more information about the application procedure please call with our recruiter randolph Mackay on 06-50203567 or send an e-mail to randolph.mackay@eneco.com.

Applying straight away? That is also possible! You can also apply via our recruitment system. Click on the 'apply' button and send us your CV with a motivation letter. You will receive a response as soon as possible.

An online assessment and a (pre-) employment screening are part of the selection procedure.

Acquisition in response to this advertisement is not appreciated.