Student Quantitative Analyst to a Data-Driven Energy Trading Startup
Location: Navitas, Aarhus
Are you passionate about data and eager to make a meaningful impact in the energy sector? Join Vis Commodities as a Student Quantitative Analyst. As a dynamic startup specializing in data-driven algorithmic trading, we are dedicated to innovation, sustainability, and creating a collaborative, supportive work environment.
About Us
At Vis Commodities, we blend quantitative analysis with innovative approaches to execute precise trading strategies in the energy sector. Based in Navitas Aarhus, we aim to move green energy efficiently between European grids, aligning with our net-zero goals. Our entrepreneurial spirit and commitment to continuous learning set us apart, and we value each team member’s contribution to our collective success.
What We Offer
- Hands-on Trading Experience: Work alongside senior quants and traders to research, build, and deploy live trading strategies.
- Machine Learning in Production: Apply ML techniques (supervised, reinforcement, time-series) on real market data; see your models make decision.
- Professional Growth: Dedicated mentorship, regular knowledge sharing, and the freedom to explore new ideas.
- Collaborative Culture: Flat hierarchy, open communication, and social events to foster team spirit.
- Technology stack: Python, React, Azure Machine Learning, and modern data-engineering tools
What to Expect
As a Student Quantitative Analyst, you will:
- Research & Signal Generation: Analyse price patterns, order-book dynamics, and external factors to identify tradeable signals
- Model Implementation & Backtesting: Build robust backtest frameworks, calculate performance metrics
- Live Trading Support: Assist with trade execution scripts, monitor strategy health, and implement risk controls
- Machine Learning & Optimization: Experiment with supervised, unsupervised, and reinforcement-learning methods to enhance signal quality
- Data Engineering & Automation: Develop ETL pipelines for real-time and historical data: automate model retraining and reporting
- Cross-Functional Collaboration: Partner with the trading desk to refine execution tactics and adapt strategies to evolving market conditions
- This role blends desk experience with analytical exploration – perfect for a student eager to grow as both trader and quantitative thinker
What We’re Looking For
- Academic Background: Currently enrolled in a degree in Data Science, Finance, Economics, Mathematics, Statistics, Computer Science or ar elated quantitative field.
- Technical Skills: Proficiency in Python and its ecosystem of data and machine-learning libraries. Understanding of statistics, time-seris analysis, and probability
- Analytical Mindset: Strong problem-solving skills, attention to detail, and the ability to think critically under uncertainty
- Team Player: Excellent communication skills, willingness to ask questions, and openness to feedback
- Self-Starter and Curious: Eager to learn and take ownership of projects, learn on the job, and adapt to a fast-paced startup environment
- Nice to Have: Experience with cloud platforms (Azure, AWS, GCP). Prior exposure to algorithmic trading or financial markets
Why Join Us?
At Vis Comodities, you’re not “just a student emoloyee” – you’re a core contributor. You’Il gain real responsibility, see your work in production, and have a direct impact on our trading P&L. We value curiosity, collaboration, and continuous learning, and we’ll give you the tools and support to grow your quantitative and machine-learning career.
Application Deadline and Start Date
If you are ready to embark on an exciting journey with a company that values innovation, sustainability, and personal growth, we would love to hear from you!
How to Apply
Send your resume and a brief cover letter to job@viscommodities.com. We look forward to learning more about you and how you can contribute to our team at Vis Commodities.
If any questions occur or more information is needed, feel free to contact our managing director Deldar Nawzadi: +45 60646322 / dena@viscommodities.com or Founder Farid Nawzadi: +45 60741085 / fana@viscommodities.com