Are you eager to develop and deploy advanced trading algorithms in the renewable energy sector? Do you want to combine your quantitative and technology skills to optimize trading a portfolio of renewable assets? Are you interested in harnessing real-time data and computational techniques to make impactful trading decisions in European energy markets? Do you want to join a vision of pioneering algorithmic trading and renewables asset management?
InCommodities is a global 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 at an incredible speed and are now looking for a skilled quant to join our Renewables Asset Management (RAM) team as an Algorithmic Trader. So, if you are intrigued by questions like the above, you might be who we are looking for!
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. We guarantee a fast-paced entrepreneurial environment and autonomy to make decisions and influence our strategy.
Responsibilities
- Become a domain expert within relevant markets and products.
- Utilize quantitative techniques to analyze market- and fundamental data and identify potential trading opportunities (e.g., to build predictive models for market behavior and price movements)
- 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 – we imagine that you:
- Have excellent quantitative modeling skills (e.g., statistics, econometrics, applied mathematics, engineering, physics),
- Have great coding skills (we use Python extensively, although the specific language is not a hard requirement)
- Have experience or a keen interest in learning about markets, in particular energy markets
- Are fluent in English, both written and verbal
Personal skills – we expect that you:
- Demonstrate a high level of motivation and drive
- Possess a collaborative mindset, with an emphasis on cross-team and cross-functional cooperation
- Thrive on autonomy and responsibility
- Can be direct with your colleagues in a constructive way
What you can expect from us:
- You will be part of an entrepreneurial and cross-functional team, and you will learn from the best
- You will collaborate with other algorithmic traders and quants
- We will provide you with opportunities to develop both professionally and personally
- We will provide you with flexibility and autonomy to drive real impact
- You will be part of a distinctive company culture that embodies our core values of honesty, transparency, and rethink, free from the frustrations of excessive rules, policies, and bureaucratic processes.