full-time
Quantitative analyst for Automated Trading of the short-term US power market
Danske Commodities
- Employer
- Danske Commodities
- Location
- Aarhus, Central Denmark Region, Denmark
- Working pattern
- hybrid
About the role
Design, develop, and deploy automated machine-learning trading strategies for the US short-term power market, turning large and high-dimensional datasets into trading signals and predictive models. Improve models and infrastructure, collaborate with traders and analysts, and take new quantitative ideas from research into production. Applicants should have an MSc or PhD in data science, computer science, mathematics, physics, or a related field, along with advanced Python development skills and experience producing robust code. Extensive experience with machine-learning techniques and frameworks such as PyTorch or Scikit-learn is expected; prior energy-sector knowledge is not required.