I am responsible for our analytics team and together with my team our primary task is to find patterns in data and work out and manage our trading strategies.

Our approach to power trading using an algorithmic approach revolves around enormous amounts of data and there are infinite data out there to choose from.

When I or one of my team members get an idea for a market behavior, I select, process, and visualize the data I want to test for possible new strategies. Then I test the trading strategy to see if my assumptions are right. If the tests turn out positive, then it is time to implement the strategies in the market for live trading. Once in use, I monitor to make sure they keep performing, and I or one of my colleagues finetune when needed.

A typical day in the office

I start my day by checking up on all current positions. Does everything look as expected or has something unusual happened on our markets during the night. Basically, I make sure our ‘trading machine’ is running as expected.

Next, I follow up on yesterday’s trades. Of course, it is interesting to see if we have gained or lost money, but we also learn from our experience. We discuss and evaluate any unexpected market behavior in the team, and we utilize our knowledge for developing new trading strategies.

We anticipate some of the market behavior, or we say that we catch the events, and some of the events we do not catch. I try to understand why things developed the way they did and analyse what we should to be able to predict next time the same events occur. That knowledge is also utilized for new strategies.

Instant feedback with gains or losses

I really enjoy the short way from idea to execution. Overseeing the entire process from initial data search to the actual market execution, it is easy for me to see if my strategies and ideas work in action and generate money. That is so motivating to me to get the feedback from my work instantly.