Student employee for Short-Term Automated Trading

In this role as junior quantitative analyst, you will be part of a team that develop and maintain our algorithmic trading strategies. Your analytical background will be used to analyse problems and develop solutions.In this role as junior quantitative analyst, you will be part of a team that develop and maintain our algorithmic trading strategies. Your analytical background will be used to analyse problems and develop solutions.More specifically, your responsibilities include:More specifically, your responsibilities include:

assisting in developing and backtesting algorithmic trading strategies using machine learning and analytical models

supporting the maintenance and enhancement of existing strategies and projects using Python programming

analysing data to identify trading opportunities

solving ad-hoc tasks related to trading or existing projects

assisting in developing and backtesting algorithmic trading strategies using machine learning and analytical models

assisting in developing and backtesting algorithmic trading strategies using machine learning and analytical modelsassisting in developing and backtesting algorithmic trading strategies using machine learning and analytical modelssupporting the maintenance and enhancement of existing strategies and projects using Python programming

supporting the maintenance and enhancement of existing strategies and projects using Python programmingsupporting the maintenance and enhancement of existing strategies and projects using Python programminganalysing data to identify trading opportunities

analysing data to identify trading opportunitiesanalysing data to identify trading opportunitiessolving ad-hoc tasks related to trading or existing projects

solving ad-hoc tasks related to trading or existing projectssolving ad-hoc tasks related to trading or existing projectsYou will join a team that specialises in developing and implementing algorithmic trading strategies for the electricity market. Our focus is on leveraging technology and data analysis to optimise trading performance.You will join a team that specialises in developing and implementing algorithmic trading strategies for the electricity market. Our focus is on leveraging technology and data analysis to optimise trading performance.We are a team of passionate individuals with different backgrounds, all dedicated to pushing the boundaries of algorithmic trading. Common for all is that we value collaboration, innovation and continuous learning. We encourage open communication and idea sharing amongst team members.We are a team of passionate individuals with different backgrounds, all dedicated to pushing the boundaries of algorithmic trading. Common for all is that we value collaboration, innovation and continuous learning. We encourage open communication and idea sharing amongst team members.As you will be working in a dynamic market environment, we imagine that you are able to keep an analytic outlook and think critically. We also expect that you have great communication skills and can manage internal and external stakeholders alike.As you will be working in a dynamic market environment, we imagine that you are able to keep an analytic outlook and think critically. We also expect that you have great communication skills and can manage internal and external stakeholders alike.We also imagine that you:We also imagine that you:

are currently enrolled in an education within Data Science, Computer Science, Mathematics, Physics, Economics or a related field

are proficient in Python – and eager to enhance your skills

have experience with machine learning techniques and frameworks

are interested in financial markets and trading principles

have solid problem-solving skills and attention to detail.

are currently enrolled in an education within Data Science, Computer Science, Mathematics, Physics, Economics or a related field

are currently enrolled in an education within Data Science, Computer Science, Mathematics, Physics, Economics or a related fieldare currently enrolled in an education within Data Science, Computer Science, Mathematics, Physics, Economics or a related fieldare proficient in Python – and eager to enhance your skills

are proficient in Python – and eager to enhance your skillsare proficient in Python – and eager to enhance your skillshave experience with machine learning techniques and frameworks

have experience with machine learning techniques and frameworkshave experience with machine learning techniques and frameworksare interested in financial markets and trading principles

are interested in financial markets and trading principlesare interested in financial markets and trading principleshave solid problem-solving skills and attention to detail.

have solid problem-solving skills and attention to detail.have solid problem-solving skills and attention to detail.Please note that prior knowledge of the energy sector is not required for this role.You can read more about our recruitment process here. Please note that if you are an international candidate, we will reimburse travel expenses in connection with potential interviews and support you with the relocation process.hereWe're a tech-driven energy trading company present in +40 markets across five continents. Our +600 people are driven by a need to constantly better things. If you are too, we could very well be the right place for you. You'll join a collective of thinkers and doers. Aspiring chefs, runners, parents, beekeepers, gamers – the list goes on. We're highly specialised experts within our fields. But it’s actually our diversity of ideas we’re most proud of, which is why we continuously work on strengthening an inclusive culture where diverse teams thrive. Our organisation is flat with an open-door policy. We expect you to care. About your work. About your own and your colleagues’ collective successes. And about the difference we make at [xxxxx]. Together with our parent company Equinor, we have the vision and strength to accelerate the energy transition and make an impact. Like no other.We've recently moved to our brand-new headquarters in Aarhus, Akson, located in Sydhavnskvarteret – a vibrant district where business meets culture. In this urban oasis, we enjoy state-of-the-art facilities – including our own barista coffee shop, modern fitness facilities and breathtaking views that make every day at the office even sweeter.Luckily, we often have lots of other interesting positions available that might prove to be a better match.