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Lead Trading Analyst - BESS

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Job Description

The position
Our Trading Analysts create value for our customers. They are responsible for generating revenue by bidding the available capacity Sympower has into the Balancing and in the future wholesale markets.

As a Lead BESS Trader, you will be responsible for maximising profits from operating and trading assets connected to our platform. On top of this you will be responsible to cooperate and utilize the resources in the Sympower data team, in order to have the best possible trading infrastructure in place for the trading desk.

We expect you to bring our trading desk to the next level and for that you’ll have all the freedom and flexibility. Think of endless possibilities for optimisation, mentoring and coaching our current team and introducing all the ideas that you have. And we want to hear it all.

What is in it for you

We are committed to creating an inclusive and values based culture where everyone feels that they belong, and where everyone has the opportunity to do meaningful work.

We offer a market competitive compensation package, including but not limited to:

  • 30 paid holiday days per year
  • Remote office budget
  • Working from home allowance
  • Stock Appreciation Rights (SARs)
  • Paid volunteer days

Learn about all of our benefits on our careers page.

What you will do

  • Develop, implement, and oversee strategies for optimizing flexibility in energy systems
  • Explore emerging meteorological and energy market data sources to identify potential enhancements to machine learning model features
  • Strengthen the validation process for new optimization strategies using our automated backtesting tools
  • Assess new energy markets to facilitate the expansion of our optimization solutions into additional regions
  • Conceptualize and create prototypes for innovative optimization products or enhancements
  • Track and analyze energy market dynamics to identify trends that influence product effectiveness
  • Partner with data scientists to design, develop, and validate machine learning models for forecasting and optimization
  • Collaborate with software engineers to integrate research findings into production-ready systems
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  3. We'll reach out if there's a company interested in talking to you.