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Quantitative Trader

2 weeks ago

Århus, Århus Kommune, Denmark InCommodities AS Full time
Unlock Your Potential in Renewable Energy Trading

InCommodities A/S is a pioneering technology company specializing in energy trading and renewable asset management. We support renewable asset owners in managing and optimizing the output from their solar and wind assets.

We are growing rapidly and seeking a skilled quant to join our Renewables Asset Management (RAM) team as an Algorithmic Trader. This role will involve developing, deploying, and refining algorithmic trading strategies to effectively manage the production of renewable assets and balance demand and supply in European energy markets.

Your Journey as an Algorithmic Trader:

In this role, you will trade our renewables portfolio in the European energy markets. You will play a key role in developing, deploying, and refining algorithmic trading strategies to effectively manage the production of renewable assets and thereby support the balancing of demand and supply.

We will ensure you are ready to take on your new role by giving you the best possible introduction to your team, our business, and organization. You will collaborate with other algorithmic traders and quants to develop and refine trading strategies.

Responsibilities:

  • Become a domain expert within relevant markets and products.
  • Utilize quantitative techniques to analyze market- and fundamental data and identify potential trading opportunities.
  • Contribute to existing- and developing new algorithmic trading and asset optimization strategies.
  • Conduct rigorous backtesting of trading strategies using historical data to assess performance and refine models.
  • Monitor the performance of trading algorithms, identify any issues or anomalies, and deploy necessary adjustments to ensure optimal performance.
  • Contribute to the technical frameworks (Python) to ensure consistent and synergetic development of our trading abstractions.
  • Proactively ensure quality in both execution and governance.

Qualifications and Skills:

  • Excellent quantitative modeling skills (e.g., statistics, econometrics, applied mathematics, engineering, physics).
  • Great coding skills (we use Python extensively, although the specific language is not a hard requirement).
  • Experience or a keen interest in learning about markets, in particular energy markets.
  • Fluency in English, both written and verbal.