Quantitative Analyst

Do you thrive in a fast-paced international environment and are you interested in developing innovative trading strategies and engaging in knowledge-sharing with dedicated colleagues?
Then read ahead and find out why this opportunity might be the perfect match for you. 

YOUR MISSION 

With a focus on both innovation and precision, the Quantitative Department collaborates closely with traders to develop sophisticated models that predict market trends, assess risks, and identify profitable trading opportunities. Our mission is to transform complex data into clear, strategic guidance that supports Energi Danmark's competitive edge in the dynamic and fast-paced energy trading environment. 

As a Quantitative Analyst, your mission will be to: 

• Create and refine analytical models to support gas traders with data-driven insights and trading recommendations. 
• Conduct comprehensive quantitative analysis to develop profitable trading ideas based on market fundamentals. 
• Maintain and enhance proprietary gas market models to ensure a comprehensive understanding of market dynamics. 
• Visualize and analyze data to support traders in their strategies and make tools so data can be altered to different scenarios. 
• Assist in developing and updating markets outlooks in European gas energy market with link to LNG. 

YOUR NEW TEAM 

The Quantitative Analysis Department at Energi Danmark is a newly established team dedicated to leveraging advanced quantitative methods and data-driven analysis to enhance trading strategies and decision-making processes. Our department serves as the analytical backbone of the trading division, utilizing mathematical modeling, statistical analysis, and computational techniques to provide actionable insights and optimize trading performance across the energy markets.

YOUR PROFILE 

It is crucial that you possess a clear drive for quantitative analysis, with a deep understanding of mathematical, statistical, and econometric techniques. 

To succeed in this role, your professional competencies could preferably include: 

Technical skills: 

• Advanced proficiency in programming languages such as Python, R, or MATLAB, and experience with data analysis tools and software. 
• Demonstrated ability to build and refine complex analytical models and to derive actionable insights from large datasets. 

Personal skills: 

• Excellent analytical skills and the ability to communicate complex quantitative findings and trading strategies effectively. 
• A proactive approach with a keen attention to detail and a commitment to continuous improvement.  
• A team-oriented mindset, eager to contribute to a positive and energetic team dynamic. 
• Experience in energy markets or financial trading is an advantage, along with a strong desire to learn and adapt in a fast-paced trading environment. 

WE MIGHT BE BIASED, BUT IT IS QUITE AWESOME HERE 

Building on decades of trading expertise, we are one of the leading trading companies in the Nordics. When you join us, you will be part of an ambitious energy trading company with over 300 employees, working alongside talented and dedicated colleagues. 

We are on a transformational journey, driving high efficiency in the energy markets and accelerating the energy transition by connecting and serving producers and consumers of renewable energy. 

We offer an exciting and dynamic workplace that fosters high ambitions and nurtures a culture of dedication, problem-solving, and a winning mindset. As we navigate a significant transformation, you will find a lot of opportunities for growth, skill development, and specialization with us. 
We place great emphasis on the well-being of our employees, both inside and outside the workplace. 
We prioritize excellent working conditions and offer a comprehensive benefits package, including extra days off, competitive compensation and flexible working hours to promote a healthy work-life balance. 

LET US GET THIS CONVERSATION STARTED 

If you want to join us – do not wait - send your resume and application as soon as you can, and no later than November 11. Keep in mind, we will be interviewing on a rolling basis, so this post might close early if we find the perfect fit. 

Got questions or need more details?  
Reach out to Lars Berthing, Head of Quantitative Analysis & Algo Trading at +45 5367 1754 or on email: [email protected]. 

You are at the finish line – ready to cross over and join us?