Student Quantitative Analyst
MFT Energy specializes in power and gas trading. We are fast growing and on a mission to empower entrepreneurs to become the best.
Join a world of energy as MFT Energy's new Student Quantitative Analyst
At MFT Energy, we are at the forefront of energy trading, driving market efficiency, and facilitating the green transition. We are seeking a talented student quantitative analyst to join our ambitious Intraday team trading European power. Collaborate with experienced professionals, who are dedicated to excellence every day.
About the role
As a Student Quantitative Analyst, you will play an instrumental role in our dynamic Intraday team. You will work alongside highly skilled quantitative analysts, machine-learning experts, execution-algo developers, system developers, and traders.
You will be part of a team working on machine-learning models that automatically execute in the market meaning you will get direct feedback on performance. With time, we will bring you into various decision-making processes as we believe in responsibility being a key driver for your success.
Your key responsibilities
- Acquire and maintain data from external sources.
- Contribute to existing trade signal frameworks.
- Maintain and develop new trading strategies using machine learning and market knowledge.
Your qualifications and personal skills
- Studying: Data Science, Economics, Engineering, Finance, or similar.
- A proactive approach and general interest in algorithmic trading.
- Experience with Python and standard libraries such as Pandas, NumPy, etc. is considered a plus.
- Strong analytical skills and an eye for detail.
- The ability to work independently and structure your workload.
- A positive and competitive attitude but at the same time a valued team player.
- Fluent in English, both spoken and written, as our company language is English.
Above all, we cherish passion and creativity. If you have made hobby projects, feel free to share them.
Working in MFT Energy
You will be part of a young, global, and vibrant working environment in the heart of Aarhus. MFT Energy is a transparent and flat organization with entrepreneurship at heart. We are more than 180 employees working out of our headquarters in Scandinavian Center in Aarhus C and from our international offices in Türkiye, Australia, New York City, and Singapore, and several remote colleagues working from all over the world. Our mission is to empower entrepreneurs to become the best—we believe that this is done via a fair organizational structure, with the most competent people, based on the right values.
We offer:
- A part-time student position with a high degree of influence and autonomy, requiring on-site presence at our Aarhus C office to foster close collaboration and learning
- A competitive and entrepreneurial work environment.
- Professional and committed colleagues with great ambitions.
- Great employee benefits and a people-centered leadership approach.
- A celebrative work environment, a modern workplace, and an entrepreneurial, professional culture.
Make the Most of Your Talent! Join us!
If you think there is a fit between our values and your aspirations, we will be looking forward to receiving your application with a CV, a short cover letter, and your grade transcript. For questions, please contact career@mft-energy.com.
Deadline: As soon as possible.
Start date: Flexible.
We will be screening candidates on an ongoing basis.
- Department
- Trading and Analytics
- Locations
- Aarhus, Denmark
- Employment type
- Part-time
About MFT Energy
As a global and independent energy trading hub, we specialize in power, gas, and environmentals trading 24/7 in 41 countries. At MFT Energy, we innovate energy trading through our people and technology, supported by our unique partner model. Our belief is that fostering a sense of ownership among employees is the most effective way to advance our business.
Student Quantitative Analyst
MFT Energy specializes in power and gas trading. We are fast growing and on a mission to empower entrepreneurs to become the best.
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