About Danske Commodities
We are a tech-driven energy trading company that trades power, gas and certificates across 40 markets. Working for a viable energy future, we use our trading expertise to connect producers and large-scale consumers to wholesale markets.
Unsolicited - Quantitative Analyst
At DC, we employ quantitative analysts in various teams and they bring great value in a variety of ways. As a quantitative analyst in one of our trading analysis teams, you will develop trading strategies by gathering and structuring vast amounts of data and turning it into a solid foundation for decision-making. You will develop quantitative models to forecast energy prices, describe market dynamics and price complex products across the global energy markets.
We also employ quantitative analysts in our automation teams, which support our trading teams in developing, implementing and monitoring algorithmic strategies. Here, the teams are driven by the common goal of making better and faster trading decisions, always pushing the strategies and analyses into new territory.
It is also possible to join our Risk Management unit as a quantitative analyst. Here, you will work with developing our risk measure models and calculating figures critical to the organisation, such as realised and unrealised PnL for all business activities as well as associated risk measures.
No matter which team you join, you will work closely with the business, linking trading decisions with quantitative modelling and data.
- professional and skilled colleagues, who set the bar high
- great opportunities for individual development
- flexible working hours
- numerous social and professional events incl. sporting events and parties
- an office in the heart of Aarhus, next to the central train station
Your responsibilities as a quantitative profile could include the following:
- trading strategies
- risk measure models
- valuation models
- develop quantitative analyses, e.g. fundamental analyses, optimisation problems and investigate new trading strategies
- build, optimise and maintain tools to optimise performance
- ensure correct and relevant reporting of performance
- ensure a clear follow-up on the output of trading strategies with the trading teams
- perform ad-hoc analyses to support e.g. business cases and risk management framework
- develop and maintain the team’s quantitative model library
We expect that you:
- hold a relevant master’s or PhD degree in Physics, Mathematics, Economics, Engineering or similar
- preferably, have academic or professional experience in modelling of energy systems
- preferably, have experience from the energy sector or from the financial sector
- have programming experience in Python, Matlab, R, VBA or similar
- are fluent in English – both written and verbal
We expect that you:
- are a structured, logical thinker and mathematically well-grounded – you will work with great amounts of data which require a solid processing and understanding of numbers
- are reliable and quality conscious – you will conduct analyses that are used for decision-making, and therefore it is important to be accurate
- are independent and result-oriented as you will get your own tasks and responsibilities
- are adaptable and thrive in a dynamic environment. We operate in an ever-changing market and the ability to quickly adapt to market conditions is essential
- take a positive view: no job too big, no job too small – the team covers a wide range of tasks and we always help each other with getting the job done
Not the right fit for you? We might have something else that proves to be a better match.