Do you want to join one of the world’s fastest-growing energy trading companies and play a key role in building our new Macro Trading portfolio? Keep reading; we are looking for a Quantitative Analyst to join our newly established Macro Trading team.
In Macro Trading, we combine macroeconomic insights and data analysis with market-specific knowledge of power, gas, and emissions to generate trading decisions. The macro portfolio is like a start-up with a high degree of autonomy and the opportunity to explore new ideas to innovate and rethink European Energy Trading, while having the backing of a larger and mature organization, increasing the probability of success.
As a Quantitative Analyst, you will be key in building our quantitative macroeconomic framework. Additionally, you will collaborate closely with traders, quants, and other analysts to develop quantifiable and actionable analysis.
Your journey as a Quantitative Analyst
We seek a highly analytical and detail-oriented Quantitative Analyst with a dedicated focus on macroeconomics and econometrics to support our energy trading activities. In this role, you will leverage macroeconomic data—such as interest rates, inflation, and growth - and advanced econometric techniques to create proprietary models that forecast market prices and support our trading strategies.
The ideal candidate will have a deep understanding of the global macroeconomic landscape and how it influences commodity prices, energy supply, and demand, paired with exceptional skills in econometric modeling and quantitative research.
We will ensure you are ready to take on your new role by giving you the best possible introduction to the team, our business, and our organization. You will be introduced to our macroeconomic framework, and any potential knowledge gaps will be addressed to maximize your success.
At InCommodities, we do not believe in bureaucracy, stringent processes, or micro-management. Instead, we grant you high autonomy, which we believe unlocks greater engagement and ensures that the best decisions are made – always by those closest to the job.
Key Responsibilities
- Develop and implement econometric models that predict key macroeconomic variables
- Incorporate macroeconomic factors to predict energy prices and supply-demand dynamics
- Collaborate with traders and quants to translate macroeconomic data and econometric insights into actionable trading strategies.
- Continuously monitor and refine models to reflect changes in the macroeconomic environment
Qualifications – we imagine that you:
- Hold a master’s degree or PhD in Economics, Finance, or a similar field with a focus on econometrics
- Have experience with time-series analysis, forecasting, and other advanced econometric techniques
- Possess excellent coding skills (Python is an advantage)
- Preferably have knowledge of energy markets (oil, natural gas, electricity)
- Have great communication skills enabling you to present complex macroeconomic insights to both technical and non-technical stakeholders
Personal skills – we expect that you:
- Are super passionate and knowledgeable about econometrics
- Actively follow and understand what is happening in the world of macroeconomics
- Have a curious and competitive mindset
- Can be direct with your colleagues in a constructive way
- Can work independently with a strong drive towards achieving results
- Are a team player who will do what is best for the team and InCommodities
What you can expect from us:
- You will join a team of experienced colleagues and will have the opportunity to work closely together with quants, analysts, and traders to build a macro trading desk
- 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 a unique company culture where we live up to our values: Honesty, Transparency, and Rethink and where you don't have to abide by a dress code or a strict hierarchy, so you won't be frustrated with too many rules, policies, or bureaucratic processes