Key Responsibilities

• Assist with data gathering, processing, and analysis to support the team in making informed trading decisions.
• Contribute to the development and maintenance of price forecasting models by performing tasks such as data cleaning, pre-processing, and simple modeling under guidance.
• Support in automating processes and implementing efficiency improvements in the workflow. This includes debugging, coding, and helping to maintain the codebase.
• Collaborate with the team in various ad hoc tasks, which will provide exposure to different aspects of quantitative trading.
• Play a supporting role in various projects, assisting with research, documentation, and presentation preparation.
• Help maintain and update documentation of trading strategies and processes, ensuring all records are accurate and up-to-date.
• Perform regular checks and audits on data and models to ensure accuracy and consistency.

Requirements

• Currently enrolled in a Master's degree in Mathematics, Economics, Statistics, or a related field.
• A passion for coding, with prior experience or eagerness to learn and improve.
• Strong analytical and problem-solving skills ready to be applied in practical scenarios.
• Ability to thrive in a fast-paced and dynamic environment.
• Capability to commit to working at least 1-2 days per week, with flexibility offered during examination periods.
• No prior professional experience is necessary, but a keen interest in quantitative trading is beneficial.
• The primary workplace will be from Aarhus, but you should expect some days traveling to Aalborg in the beginning

If you have any questions about this role don't hesitate to contact Lasse Thorst.