Student Assistant - Algo Trading

Join us, be part of more.

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion and more potential. That’s why working here is #MoreThanACareer. Wedo energy differently - we do it all. We make it, store it, move it, sell it and mend it.

About your team:

At Centrica Energy, our mission is to move it.

We’re energy movers by nature. We’re a global renewable energy trading company which helps move energy from source to use - powering businesses, homes, and societies as they transition to a new sustainable energy future. If the idea of working to create a sustainable energy future also moves you, we may very well be the right place for you.

If you are a student who enjoys a high-impact working environment at the forefront of the markets, and you want to see algorithms go from a first spark to actively trading in a matter of weeks, you might be the Student Assistant we are looking for to join us in the Algorithmic Trading team!

The role

Your role as Student Assistant will challenge your creative and technical abilities while you work alongside experienced Quant Traders and Algo Developers. You will get hands-on exposure to the many aspects of algorithmic trading - from data exploration and research to backtesting, implementation, deployment, and monitoring - all while continuing your studies.

On an average workday, your main responsibilities will include:

• Supporting the research, development and validation of trading strategies in short-term power markets across Europe and North America, including data analysis and backtesting
• Contributing to the creative process around new algo trading concepts by sharing and refining ideas with the team
• Helping to develop and maintain tools that support our algorithmic trading operations
• Assisting with the monitoring and maintenance of live trading strategies

Together with Quant Traders, Algo Developers, and traders, you will contribute to monetizing the aforementioned business areas via algorithmic trading, while gaining practical experience and learning from people at the top of their field.

This is a part-time student position, designed to fit alongside your studies, and is based out of one of our locations Copenhagen, Denmark.

The team

We are a cross-disciplinary commercial team consisting of top-level people with diverse quantitative backgrounds, such as mathematicians, physicists, software engineers and computer scientists. We share a mission of spearheading research, development, deployment, and operation of trading algorithms within energy commodity markets.

If you are curious, inventive, and open-minded, we are certain you will thrive with us, where discussing at a white-board and sharing trading ideas is equally important to your technical skills. We foster an open, collaborative workspace where continuous learning and professional growth aren’t just encouraged - they’re essential to staying sharp and competitive in the markets.

Your qualifications

We expect you to be currently enrolled in a master’s programme in mathematics, physics, computer science, engineering, or a closely related field. No prior work experience is required.

Furthermore, we expect that you:

• Are talented and passionate about data science and/or quantitative modelling

• Have a strong interest in trading

• Bring a commercial mindset and the confidence to take your models to the market

• Approach problems with curiosity, creativity, and an innovative spirit

• Are eager to learn and excel at developing original solutions
• Have working knowledge of Python or R

• Thrive in a collaborative, team-oriented environment

• Have good communication skills in English

It will be an advantage if you have:

• Previous experience from a relevant internship, student job, or project in data science, quantitative modelling, or trading
• Knowledge of or interest in short-term power markets in Europe or North America

• Strong interest in coding

About Centrica Energy

We’re a profitable company that understands the necessity of investment to achieve improvement. If you’ve got the willingness, ambitions, and right attitude we offer a work environment that will help you grow on a professional as well as personal level.

Energy markets are increasingly dominated by an ambitious decarbonization agenda, and so are we. Leveraging our in-house talent and specialists, extensive market expertise, technical capabilities, and the strong balance sheet of Centrica plc, we’re focused on delivering on the net-zero agenda as a vital enabler of our future growth. Our ambition is to become Europe’s No. 1 renewable energy trader and a globally important player, and we’re delivering on an ambitious corporate- and commercial strategy to make those ambitions a reality. Our work culture is flexible, entrepreneurial, and collaborative, marked by a high pace and equally high ambitions, but also emphasizing social engagement and having fun.

Why should you apply?

We’re not a perfect place - but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

https://www.morethanacareer.energy/centricaenergy

If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.

Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.