Aarhus Trading is a start-up located in the heart of Aarhus specializing short-term energy trading. Our success hinges on a high-performance, low-latency technology platform that operates in a fast-paced market environment. As we expand our trading operations, we are seeking a skilled Quantitative Trader to join our core team and make a direct impact on our growth.
The Role:
Do you have a solid quantitative toolbox and a keen interest in the complexities of energy markets? We are looking for a Quantitative Trader to join us and help build a dedicated algorithmic team. In this role, you will be at the forefront of developing and optimizing autonomous trading strategies for key markets in Europe and North America.
You will play a crucial role in the entire quant lifecycle, from researching new market opportunities and building models to implementing, back-testing, and fine-tuning our algorithmic strategies. This is a unique opportunity to take on significant responsibility from day one, supported by a team of highly skilled colleagues in a collaborative and vibrant environment.
Key Responsibilities:
- Research & Strategy Development: Research new market opportunities and develop profitable trading strategies using machine learning, econometrics, and deep market knowledge.
- Quantitative Modeling: Build, maintain, and optimize quantitative models for energy markets, including price forecasting, supply-demand fundamentals, and trade execution algorithms.
- Full Strategy Lifecycle: Contribute to our entire trading framework, from initial research and back-testing to implementation and live monitoring, ensuring model reliability and accuracy.
- Data Management: Acquire, validate, and maintain high-quality data from external and internal sources to feed our models and analyses.
- Collaboration & Improvement: Work closely with traders, software developers, and other quants to convert academic knowledge into practical applications and continuously improve our existing setup.
We expect you to have:
- A master’s or PhD degree in a quantitative field such as Mathematics, Physics, Engineering, Economics, Finance, or Computer Science.
- A strong academic record, complemented by either top-tier university performance or 2+ years of relevant experience in a quantitative role.
- Programming skills, with a strong preference for Python and its data science libraries (e.g., Pandas, NumPy).
- Proven expertise in quantitative modeling, statistics, econometrics, and machine learning fundamentals.
- Exceptional analytical skills, a keen eye for detail, and a quality-conscious approach.
- A curious mindset, a proactive approach, and the courage to tackle a steep learning curve.
It is an advantage if you have:
- Experience in energy trading (power, gas, or related commodities) or other financial services.
- Experience with other relevant technologies (e.g., SQL, Columnar DB Technology, etc.).
We are looking for a colleague who:
- Is efficient, independent, and dynamic, thriving in a fast-paced environment.
- Possesses a positive and competitive attitude, combined with being a valued team player.
- Is not afraid to take on responsibility and sees opportunities where others see problems.
- Can work effectively both independently and collaboratively, structuring their own workload to meet team goals.
What We Offer:
- A steep learning curve supported by a thorough on-boarding program, setting you up for success from day one.
- An attractive remuneration package commensurate with your qualifications.
- A high level of autonomy while still having ample opportunity to collaboration.
- Professional and personal challenges in a unique, flat culture without rigid hierarchies.
- An exciting and dynamic workplace in modern premises in the heart of Aarhus, where no two days are the same.
- Great team and company-wide events
Ready to Power the Future of Energy Trading?
If you are a motivated quantitative trader with relevant experience, we encourage you to apply by submitting your CV and a brief cover letter to us at contact@aarhustrading.dk
We look forward to connecting with you.