Junior Quantitative Researcher (student)

Are you curious about quantitative trading and eager to see your work support real trading strategies? Do you want to apply your analytical skills in a fast-paced trading environment where your work has a direct impact? And are you looking for a student position where you can work alongside experienced Quant Researchers while developing your technical and quantitative skills?

We are looking for a Junior Quantitative Researcher (Student) to join our EU Intraday Quant Trading team. You will become part of a highly skilled and ambitious environment where quantitative research, data and systematic trading strategies play a central role in supporting our intraday trading activities.

About the team

EU Intraday Quant Trading is a specialized team working at the intersection of quantitative research, technology and power trading. We continuously develop, improve and maintain quantitative trading strategies, using data and market insights to create value in the intraday power market. Collaboration is close, ideas are welcome, and curiosity is a natural part of how we work.

Your role

As a Junior Quantitative Researcher, you will support the team in developing and maintaining the tools, reports and trading strategies that form the foundation of our quantitative trading activities. Working closely with experienced Quant Researchers, you will help ensure that research, data and reporting remain structured, reliable and ready to support the team's ongoing work.

This is a great opportunity to apply your theoretical knowledge in practice while gaining first-hand experience in quantitative research within energy trading.

Your key responsibilities

In this role, you will contribute across several areas that support the team's day-to-day research activities and the continuous development of quantitative trading strategies. Your responsibilities will include:

• Supporting Quant Researchers in their day-to-day research activities.
• Maintaining existing quantitative trading strategies.
• Maintaining and improving existing reports and analytical tools.
• Analysing large datasets to support research and decision-making.
• Assisting in the development and testing of quantitative models.
• Collaborating closely with Quant Researchers and technology teams to improve workflows and research processes.
• Contributing to the continuous improvement of systematic research and trading tools.

You'll become the connecting link that helps bring together research, trading strategies and reporting into a structured and systematic setup. By ensuring that the foundation is solid, you'll enable the team to focus on developing the next generation of quantitative trading strategies.

— Morten Kanne Sørensen, Manager, EU Intraday Quant Trading

Who are we looking for

You enjoy working with data, are naturally curious, and like solving complex problems in a structured way. You thrive in a collaborative environment where you continuously learn from experienced colleagues while contributing with your own ideas.

• Are currently enrolled in a quantitative field such as physics, statistics, data science, mathematics or mathematical economics.
• Have strong programming skills in Python, R, MATLAB or similar languages.
• Have experience with data analysis and statistical modelling.
• Have excellent problem-solving skills and strong attention to detail.
• Thrive in a collaborative and fast-paced team environment.
• Have experience within power trading (an advantage, but not a requirement).
• Bring a strong can-do mentality, curiosity and a willingness to go the extra mile.

What we offer

You will become part of a professional and ambitious trading environment where you will work closely with experienced Quant Researchers and gain practical experience with quantitative research in real-world energy markets.

• Hands-on experience in a professional and data-driven energy trading environment.
• Close collaboration with experienced Quant Researchers.
• The opportunity to apply theoretical skills to real-world markets.
• A driven and ambitious team with high professional standards and strong engagement.
• Flexible working hours of 10–15 hours per week, allowing you to balance work and studies.

Interested?

If you're motivated by quantitative research, data and systematic problem-solving, we'd love to hear from you. Apply today and become part of a team where your work will contribute directly to the continued development of our quantitative trading capabilities.